HP HP ZBook Studio 16 inch G10 Mobile Workstation PC
Geekbench AI Score
2215
Single Precision Score
845
Half Precision Score
4191
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 05:15 PM |
| Views | 4 |
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% |
1662
309.1 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
99% |
3227
602.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
4829
78.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3665
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2343
2.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
12622
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1644
130.4 IPS |
|
|
Object Detection (HP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (Q)
|
86% |
3395
272.9 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
5199
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4711
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1179
9.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
7751
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8731
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5569
7.16 IPS |
|
|
Style Transfer (Q)
|
98% |
15345
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1509
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2896
107.2 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
395
527.6 IPS |
|
|
Text Classification (Q)
|
97% |
816
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
464
8.00 IPS |
|
|
Machine Translation (Q)
|
65% |
1715
34.5 IPS |
