HP HP ZBook Studio 16 inch G10 Mobile Workstation PC
Geekbench AI Score
2192
Single Precision Score
840
Half Precision Score
4082
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 05:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
1640
305.0 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
99% |
2939
548.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
4768
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3636
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
12506
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1666
132.1 IPS |
|
|
Object Detection (HP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (Q)
|
86% |
3279
263.5 IPS |
|
|
Face Detection (SP)
|
100% |
4910
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
5154
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4731
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1171
9.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
8045
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8637
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5605
7.20 IPS |
|
|
Style Transfer (Q)
|
98% |
16078
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2539
94.0 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.9 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.3 IPS |
|
|
Text Classification (Q)
|
97% |
812
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
65% |
1629
32.7 IPS |
