HP HP ZBook Studio 16 inch G9 Mobile Workstation PC
Geekbench AI Score
2260
Single Precision Score
876
Half Precision Score
4278
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 05:09 PM |
| Views | 4 |
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% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.9 IPS |
|
|
Image Classification (Q)
|
99% |
3253
606.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
4917
79.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3688
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2309
2.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
13040
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (Q)
|
86% |
3214
258.3 IPS |
|
|
Face Detection (SP)
|
100% |
4933
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
5410
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4791
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1212
9.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
8275
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8969
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5562
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
16032
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1588
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3012
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
412
549.9 IPS |
|
|
Text Classification (Q)
|
97% |
816
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (Q)
|
65% |
1738
34.9 IPS |
