HP HP ZBook 15 G3
Geekbench ML Score
983
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | July 25 2024 06:37 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ZBook 15 G3 |
| Motherboard | HP 80D5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
523
97.8 IPS |
|
|
Image Classification (F16)
|
100% |
549
102.8 IPS |
|
|
Image Classification (I8)
|
97% |
876
164.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
395
6.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
422
7.04 IPS |
|
|
Image Segmentation (I8)
|
97% |
642
10.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1495
1.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
1646
1.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
3089
3.74 IPS |
|
|
Object Detection (F32)
|
100% |
455
33.9 IPS |
|
|
Object Detection (F16)
|
100% |
431
32.2 IPS |
|
|
Object Detection (I8)
|
60% |
616
46.0 IPS |
|
|
Face Detection (F32)
|
100% |
707
8.41 IPS |
|
|
Face Detection (F16)
|
100% |
722
8.59 IPS |
|
|
Face Detection (I8)
|
87% |
1286
15.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1528
11.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1797
13.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
3130
24.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4617
6.07 IPS |
|
|
Style Transfer (F16)
|
100% |
4011
5.28 IPS |
|
|
Style Transfer (I8)
|
85% |
4715
6.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
714
25.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
967
34.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1331
47.5 IPS |
|
|
Text Classification (F32)
|
100% |
704
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
552
793.0 IPS |
|
|
Text Classification (I8)
|
94% |
263
378.3 IPS |
|
|
Machine Translation (F32)
|
100% |
781
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
769
14.1 IPS |
|
|
Machine Translation (I8)
|
67% |
893
16.4 IPS |
