HP HP ZBook Studio 16 inch G9 Mobile Workstation PC
Geekbench AI Score
2284
Single Precision Score
845
Half Precision Score
4270
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 05:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12800H |
| 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 i7-12800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1737
323.0 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.6 IPS |
|
|
Image Classification (Q)
|
99% |
3262
608.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
4742
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3672
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2318
2.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
12854
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
86% |
3502
281.5 IPS |
|
|
Face Detection (SP)
|
100% |
4968
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
5450
65.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4740
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1200
9.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
8484
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8869
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5511
7.08 IPS |
|
|
Style Transfer (Q)
|
98% |
15633
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1526
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2809
104.0 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
383
511.7 IPS |
|
|
Text Classification (Q)
|
97% |
824
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (Q)
|
65% |
1732
34.8 IPS |
