HP HP ZBook Studio 16 inch G9 Mobile Workstation PC
Geekbench AI Score
14559
Single Precision Score
23404
Half Precision Score
9135
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Tihauan |
| Upload Date | November 02 2024 03:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Studio 16 inch G9 Mobile Workstation PC |
| Motherboard | HP 89C3 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6131
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
8876
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
4035
750.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9351
151.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13195
213.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7398
120.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
66289
77.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
202094
235.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
61758
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
7063
560.2 IPS |
|
|
Object Detection (HP)
|
100% |
11806
936.5 IPS |
|
|
Object Detection (Q)
|
89% |
5113
409.2 IPS |
|
|
Face Detection (SP)
|
100% |
16642
197.7 IPS |
|
|
Face Detection (HP)
|
100% |
25016
297.2 IPS |
|
|
Face Detection (Q)
|
97% |
12151
144.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
35462
273.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
64644
498.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
23595
190.2 IPS |
|
|
Style Transfer (SP)
|
100% |
148752
191.2 IPS |
|
|
Style Transfer (HP)
|
100% |
360090
462.9 IPS |
|
|
Style Transfer (Q)
|
98% |
108614
140.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24745
913.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32607
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13341
494.0 IPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3278
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1105
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2835
48.8 IPS |
|
|
Machine Translation (Q)
|
60% |
936
20.9 IPS |
