HP HP ZBook Studio 16 inch G11 Mobile Workstation PC
Geekbench ML Score
3515
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2025 08:33 PM |
| Views | 10 |
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% |
1681
314.6 IPS |
|
|
Image Classification (F16)
|
100% |
1724
322.7 IPS |
|
|
Image Classification (I8)
|
99% |
2915
545.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1539
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1507
25.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2899
48.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5941
7.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
6088
7.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
21979
26.6 IPS |
|
|
Object Detection (F32)
|
100% |
1636
122.1 IPS |
|
|
Object Detection (F16)
|
100% |
1715
128.0 IPS |
|
|
Object Detection (I8)
|
62% |
1630
121.7 IPS |
|
|
Face Detection (F32)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (F16)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (I8)
|
89% |
4370
52.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6950
53.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6988
54.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
13570
105.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15729
20.7 IPS |
|
|
Style Transfer (F16)
|
100% |
15407
20.3 IPS |
|
|
Style Transfer (I8)
|
98% |
21709
28.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2624
93.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2837
101.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4689
167.5 IPS |
|
|
Text Classification (F32)
|
100% |
1102
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1175
1.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1011
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1826
33.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1806
33.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3091
56.9 IPS |
