HP HP ZBook Studio 16 inch G11 Mobile Workstation PC
Geekbench AI Score
2589
Single Precision Score
1025
Half Precision Score
5027
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 05:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Studio 16 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CF5 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
333
62.0 IPS |
|
|
Image Classification (Q)
|
99% |
4182
780.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5867
95.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4412
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2964
3.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
16362
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (Q)
|
86% |
4576
367.8 IPS |
|
|
Face Detection (SP)
|
100% |
5354
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
5954
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5321
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1461
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9852
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10395
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7173
9.22 IPS |
|
|
Style Transfer (Q)
|
98% |
16056
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1807
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3052
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
475
634.2 IPS |
|
|
Text Classification (Q)
|
97% |
971
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2011
40.4 IPS |
