HP HP ZBook Studio 16 inch G9 Mobile Workstation PC
Geekbench AI Score
14219
Single Precision Score
23593
Half Precision Score
8987
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Tihauan |
| Upload Date | August 15 2024 07:22 PM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5828
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
9326
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
4058
754.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9716
157.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13495
218.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7555
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
68000
79.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
213041
248.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
56222
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
7161
568.0 IPS |
|
|
Object Detection (HP)
|
100% |
11729
930.4 IPS |
|
|
Object Detection (Q)
|
89% |
5351
428.3 IPS |
|
|
Face Detection (SP)
|
100% |
16002
190.1 IPS |
|
|
Face Detection (HP)
|
100% |
25075
298.0 IPS |
|
|
Face Detection (Q)
|
97% |
11743
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
35524
273.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
66273
510.6 IPS |
|
|
Depth Estimation (Q)
|
69% |
23052
195.3 IPS |
|
|
Style Transfer (SP)
|
100% |
145485
187.0 IPS |
|
|
Style Transfer (HP)
|
100% |
366373
471.0 IPS |
|
|
Style Transfer (Q)
|
98% |
102817
132.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21192
782.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30864
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13567
502.4 IPS |
|
|
Text Classification (SP)
|
100% |
2537
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
3321
4.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1040
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (Q)
|
60% |
949
21.2 IPS |
