HP HP ZBook Firefly 16 inch G11 Mobile Workstation PC
Geekbench ML Score
1990
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 14 2024 09:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Firefly 16 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CD1 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 14 |
| L1 Data Cache | 32.0 KB x 14 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1185
221.7 IPS |
|
|
Image Classification (F16)
|
100% |
1149
214.9 IPS |
|
|
Image Classification (I8)
|
99% |
1463
273.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
722
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
919
15.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1423
23.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
3475
4.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
3491
4.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
10746
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1084
80.9 IPS |
|
|
Object Detection (F16)
|
100% |
1197
89.3 IPS |
|
|
Object Detection (I8)
|
62% |
1046
78.1 IPS |
|
|
Face Detection (F32)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (F16)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (I8)
|
89% |
2836
33.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4029
31.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3987
30.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
9017
69.9 IPS |
|
|
Style Transfer (F32)
|
100% |
8774
11.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8692
11.4 IPS |
|
|
Style Transfer (I8)
|
98% |
12755
16.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1785
63.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1356
48.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2044
73.0 IPS |
|
|
Text Classification (F32)
|
100% |
645
926.3 IPS |
|
|
Text Classification (F16)
|
100% |
657
943.8 IPS |
|
|
Text Classification (I8)
|
98% |
238
342.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1386
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1087
20.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1953
35.9 IPS |
