HP HP ZBook Studio 16 inch G9 Mobile Workstation PC
Geekbench AI Score
15144
Single Precision Score
24698
Half Precision Score
9809
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | August 16 2025 12:51 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 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 |
| 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% |
5795
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
8892
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
4359
810.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
10446
169.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15388
249.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8058
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
77596
90.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
231945
270.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
63641
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
7726
612.8 IPS |
|
|
Object Detection (HP)
|
100% |
11228
890.6 IPS |
|
|
Object Detection (Q)
|
85% |
5609
451.5 IPS |
|
|
Face Detection (SP)
|
100% |
18463
219.4 IPS |
|
|
Face Detection (HP)
|
100% |
29020
344.8 IPS |
|
|
Face Detection (Q)
|
97% |
14032
167.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
39588
305.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
70103
540.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
25876
207.3 IPS |
|
|
Style Transfer (SP)
|
100% |
137597
176.9 IPS |
|
|
Style Transfer (HP)
|
100% |
349415
449.2 IPS |
|
|
Style Transfer (Q)
|
98% |
108207
139.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23597
871.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34243
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14048
520.2 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
3143
4.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1015
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1174
22.0 IPS |
