HP HP ZBook 17 G3
Geekbench AI Score
1033
Single Precision Score
1670
Half Precision Score
1576
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 05:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 530 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook 17 G3 |
| Motherboard | HP 80D6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
700
130.2 IPS |
|
|
Image Classification (HP)
|
100% |
1028
191.1 IPS |
|
|
Image Classification (Q)
|
100% |
976
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1229
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2232
2.60 IPS |
|
|
Pose Estimation (HP)
|
99% |
1980
2.32 IPS |
|
|
Pose Estimation (Q)
|
97% |
2905
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (HP)
|
99% |
1172
93.2 IPS |
|
|
Object Detection (Q)
|
88% |
1074
86.2 IPS |
|
|
Face Detection (SP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
2195
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2248
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3894
30.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
3422
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5777
7.43 IPS |
|
|
Style Transfer (HP)
|
100% |
7521
9.67 IPS |
|
|
Style Transfer (Q)
|
98% |
6483
8.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1645
60.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1547
57.3 IPS |
|
|
Text Classification (SP)
|
71% |
405
586.5 IPS |
|
|
Text Classification (HP)
|
71% |
475
687.7 IPS |
|
|
Text Classification (Q)
|
92% |
389
522.9 IPS |
|
|
Machine Translation (SP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (HP)
|
99% |
803
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
863
14.9 IPS |
