HP HP ZBook 17 G4
Geekbench AI Score
1264
Single Precision Score
2003
Half Precision Score
1902
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | manual123 |
| Upload Date | January 09 2026 07:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ZBook 17 G4 |
| Motherboard | HP 8270 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
904
168.1 IPS |
|
|
Image Classification (HP)
|
100% |
1368
254.4 IPS |
|
|
Image Classification (Q)
|
100% |
1279
237.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1641
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2396
2.80 IPS |
|
|
Pose Estimation (HP)
|
99% |
2262
2.65 IPS |
|
|
Pose Estimation (Q)
|
97% |
3208
3.76 IPS |
|
|
Object Detection (SP)
|
100% |
852
67.6 IPS |
|
|
Object Detection (HP)
|
99% |
1413
112.4 IPS |
|
|
Object Detection (Q)
|
88% |
1219
97.8 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
2784
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2575
19.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4592
35.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4050
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6367
8.18 IPS |
|
|
Style Transfer (HP)
|
100% |
8412
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
7158
9.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1784
66.1 IPS |
|
|
Text Classification (SP)
|
71% |
529
765.7 IPS |
|
|
Text Classification (HP)
|
71% |
733
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
514
690.5 IPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1025
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1025
17.7 IPS |
