HP HP ZBook Studio 16 inch G10 Mobile Workstation PC
Geekbench AI Score
479
Single Precision Score
211
Half Precision Score
994
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tono82 |
| Upload Date | September 19 2025 02:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | HP HP ZBook Studio 16 inch G10 Mobile Workstation PC |
| Motherboard | HP 8B8F |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1121
208.5 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.3 IPS |
|
|
Image Classification (Q)
|
99% |
1904
355.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
2699
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
667
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
3084
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.30 IPS |
|
|
Object Detection (Q)
|
86% |
230
18.5 IPS |
|
|
Face Detection (SP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (HP)
|
100% |
158
1.88 IPS |
|
|
Face Detection (Q)
|
97% |
1011
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
637
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
224
1.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
1405
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1521
1.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1659
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
4947
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
620
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.3 IPS |
|
|
Text Classification (HP)
|
100% |
77
102.9 IPS |
|
|
Text Classification (Q)
|
97% |
212
284.4 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.35 IPS |
|
|
Machine Translation (HP)
|
100% |
74
1.28 IPS |
|
|
Machine Translation (Q)
|
65% |
280
5.63 IPS |
