HP HP ZBook Studio 16 inch G11 Mobile Workstation PC
Geekbench ML Score
12269
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2025 08:39 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Studio 16 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CF5 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5802
1.09 KIPS |
|
|
Image Classification (F16)
|
100% |
6192
1.16 KIPS |
|
|
Image Classification (I8)
|
100% |
5464
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7813
130.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8164
136.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
7027
117.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
79313
96.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
80611
97.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
68631
83.1 IPS |
|
|
Object Detection (F32)
|
100% |
4538
338.8 IPS |
|
|
Object Detection (F16)
|
100% |
5094
380.3 IPS |
|
|
Object Detection (I8)
|
63% |
4185
312.4 IPS |
|
|
Face Detection (F32)
|
100% |
17608
209.4 IPS |
|
|
Face Detection (F16)
|
100% |
17532
208.5 IPS |
|
|
Face Detection (I8)
|
89% |
14568
173.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
35289
273.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
35064
271.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
23517
182.4 IPS |
|
|
Style Transfer (F32)
|
100% |
140700
185.1 IPS |
|
|
Style Transfer (F16)
|
100% |
117365
154.4 IPS |
|
|
Style Transfer (I8)
|
98% |
105625
138.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22404
800.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23019
822.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16679
595.6 IPS |
|
|
Text Classification (F32)
|
100% |
1752
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1698
2.44 KIPS |
|
|
Text Classification (I8)
|
98% |
1297
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
3118
57.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3102
57.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1690
31.1 IPS |
