HP HP ZBook 17 G4
Geekbench AI Score
1328
Single Precision Score
676
Half Precision Score
1801
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | manual123 |
| Upload Date | January 09 2026 07:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700HQ |
| 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% |
1028
191.2 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
1337
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
4153
4.91 IPS |
|
|
Object Detection (SP)
|
100% |
952
75.5 IPS |
|
|
Object Detection (HP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (Q)
|
58% |
1056
115.4 IPS |
|
|
Face Detection (SP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
581
6.90 IPS |
|
|
Face Detection (Q)
|
96% |
2978
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2500
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
933
7.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
3926
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5276
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4158
5.34 IPS |
|
|
Style Transfer (Q)
|
87% |
5231
6.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1754
65.0 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
498
665.0 IPS |
|
|
Text Classification (Q)
|
97% |
338
452.7 IPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
68% |
1021
19.7 IPS |
