HP HP ZBook 17 G3
Geekbench AI Score
1034
Single Precision Score
544
Half Precision Score
1336
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 10:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6820HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook 17 G3 |
| Motherboard | HP 80D6 |
| Power Plan | Gebalanceerd |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
746
138.7 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.9 IPS |
|
|
Image Classification (Q)
|
96% |
1374
256.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
483
7.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1532
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1307
1.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
2902
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
58% |
854
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1248
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
540
6.41 IPS |
|
|
Face Detection (Q)
|
96% |
2431
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1937
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
760
5.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
3000
23.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3894
5.01 IPS |
|
|
Style Transfer (HP)
|
100% |
2944
3.78 IPS |
|
|
Style Transfer (Q)
|
87% |
4706
6.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
728
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
651
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1055
39.1 IPS |
|
|
Text Classification (SP)
|
100% |
669
893.4 IPS |
|
|
Text Classification (HP)
|
100% |
393
525.2 IPS |
|
|
Text Classification (Q)
|
97% |
240
321.2 IPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
68% |
875
16.9 IPS |
