HP HP ZBook Studio 16 inch G11 Mobile Workstation PC
Geekbench ML Score
12548
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2025 08:42 PM |
| Views | 4 |
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% |
6155
1.15 KIPS |
|
|
Image Classification (F16)
|
100% |
6199
1.16 KIPS |
|
|
Image Classification (I8)
|
100% |
5536
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10800
180.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
8192
136.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
8192
136.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
78951
95.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
79622
96.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
70935
85.9 IPS |
|
|
Object Detection (F32)
|
100% |
4567
340.9 IPS |
|
|
Object Detection (F16)
|
100% |
4634
346.0 IPS |
|
|
Object Detection (I8)
|
63% |
4423
330.2 IPS |
|
|
Face Detection (F32)
|
100% |
16183
192.4 IPS |
|
|
Face Detection (F16)
|
100% |
17817
211.8 IPS |
|
|
Face Detection (I8)
|
89% |
12334
146.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
34908
270.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
28592
221.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
30003
232.7 IPS |
|
|
Style Transfer (F32)
|
100% |
145170
191.0 IPS |
|
|
Style Transfer (F16)
|
100% |
117690
154.8 IPS |
|
|
Style Transfer (I8)
|
98% |
107306
141.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23704
846.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22401
800.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17367
620.2 IPS |
|
|
Text Classification (F32)
|
100% |
2025
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
2006
2.88 KIPS |
|
|
Text Classification (I8)
|
98% |
1196
1.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
3105
57.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3094
56.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1690
31.1 IPS |
