HP HP ZBook Studio 16 inch G11 Mobile Workstation PC
Geekbench ML Score
3523
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2025 08:37 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1715
321.0 IPS |
|
|
Image Classification (F16)
|
100% |
1689
316.0 IPS |
|
|
Image Classification (I8)
|
99% |
2970
555.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1479
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1632
27.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2894
48.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6129
7.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
6074
7.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
23185
28.1 IPS |
|
|
Object Detection (F32)
|
100% |
1697
126.7 IPS |
|
|
Object Detection (F16)
|
100% |
1716
128.1 IPS |
|
|
Object Detection (I8)
|
62% |
1640
122.4 IPS |
|
|
Face Detection (F32)
|
100% |
4035
48.0 IPS |
|
|
Face Detection (F16)
|
100% |
4061
48.3 IPS |
|
|
Face Detection (I8)
|
89% |
4356
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6787
52.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6808
52.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
13751
106.6 IPS |
|
|
Style Transfer (F32)
|
100% |
15495
20.4 IPS |
|
|
Style Transfer (F16)
|
100% |
15738
20.7 IPS |
|
|
Style Transfer (I8)
|
98% |
21502
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2862
102.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2599
92.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4606
164.5 IPS |
|
|
Text Classification (F32)
|
100% |
1165
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1141
1.64 KIPS |
|
|
Text Classification (I8)
|
98% |
990
1.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1766
32.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1764
32.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3089
56.8 IPS |
