HP HP ZBook Studio G7 Mobile Workstation
Geekbench AI Score
6228
Single Precision Score
5034
Half Precision Score
4525
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | June 12 2025 05:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro T2000 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Studio G7 Mobile Workstation |
| Motherboard | HP 8736 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10885H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2496
464.1 IPS |
|
|
Image Classification (HP)
|
100% |
2427
451.3 IPS |
|
|
Image Classification (Q)
|
99% |
2191
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4395
71.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3642
59.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3645
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23292
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14829
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
20560
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
3030
240.3 IPS |
|
|
Object Detection (HP)
|
100% |
2876
228.1 IPS |
|
|
Object Detection (Q)
|
83% |
2585
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
6571
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
5926
70.4 IPS |
|
|
Face Detection (Q)
|
97% |
5428
64.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14430
111.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10900
84.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11185
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43910
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29513
37.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36542
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7663
283.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6559
242.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5456
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
705
945.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2321
40.1 IPS |
|
|
Machine Translation (Q)
|
70% |
995
18.7 IPS |
