HP HP ZBook Power 15.6 inch G10 A Mobile Workstation PC
Geekbench AI Score
14620
Single Precision Score
25909
Half Precision Score
11485
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 04:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5922
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
10620
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
5461
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11259
182.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16270
263.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10024
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
66031
77.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
199239
232.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57848
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
7278
577.3 IPS |
|
|
Object Detection (HP)
|
100% |
14067
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
6435
519.0 IPS |
|
|
Face Detection (SP)
|
100% |
18865
224.2 IPS |
|
|
Face Detection (HP)
|
100% |
29607
351.8 IPS |
|
|
Face Detection (Q)
|
97% |
16592
197.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31347
241.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
68473
527.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
26405
211.2 IPS |
|
|
Style Transfer (SP)
|
100% |
108861
139.9 IPS |
|
|
Style Transfer (HP)
|
100% |
296388
381.0 IPS |
|
|
Style Transfer (Q)
|
98% |
101640
131.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23160
855.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39061
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17115
633.7 IPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
3097
4.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1551
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3637
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1659
31.1 IPS |
