HP HP ZBook 15 G6
Geekbench AI Score
2331
Single Precision Score
1017
Half Precision Score
3249
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jvinkovic |
| Upload Date | August 29 2025 10:42 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook 15 G6 |
| Motherboard | HP 860F |
| Power Plan | Balansirano |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1940
360.7 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
96% |
2702
504.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
3077
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3460
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2799
3.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
5996
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.1 IPS |
|
|
Object Detection (Q)
|
58% |
1800
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
971
11.5 IPS |
|
|
Face Detection (Q)
|
96% |
4964
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4621
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1336
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6216
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8536
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6729
8.65 IPS |
|
|
Style Transfer (Q)
|
87% |
10031
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2597
96.2 IPS |
|
|
Text Classification (SP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
636
849.0 IPS |
|
|
Text Classification (Q)
|
97% |
1002
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
1817
35.1 IPS |
