HP HP ZBook Power 15.6 inch G10 A Mobile Workstation PC
Geekbench AI Score
3160
Single Precision Score
1459
Half Precision Score
6633
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 04:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 PRO 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Power 15.6 inch G10 A Mobile Workstation PC |
| Motherboard | HP 8B95 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 PRO 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3710
690.0 IPS |
|
|
Image Classification (HP)
|
100% |
705
131.1 IPS |
|
|
Image Classification (Q)
|
99% |
8187
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6603
107.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4041
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3556
4.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
16878
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2059
163.3 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
6020
483.8 IPS |
|
|
Face Detection (SP)
|
100% |
4998
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1399
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
8830
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5604
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1992
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6812
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10311
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10013
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29173
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2497
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6030
223.3 IPS |
|
|
Text Classification (SP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1429
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
1985
39.9 IPS |
