HP HP ZBook Fury 17.3 inch G8 Mobile Workstation PC
Geekbench AI Score
12775
Single Precision Score
19281
Half Precision Score
8812
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 02:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5000 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP ZBook Fury 17.3 inch G8 Mobile Workstation PC |
| Motherboard | HP 886D |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-11955M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5313
988.1 IPS |
|
|
Image Classification (HP)
|
99% |
7302
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
3948
734.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6477
105.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8269
134.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5653
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
73031
85.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
202860
236.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
60457
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
6380
506.1 IPS |
|
|
Object Detection (HP)
|
100% |
8703
690.3 IPS |
|
|
Object Detection (Q)
|
85% |
4939
397.6 IPS |
|
|
Face Detection (SP)
|
100% |
14150
168.1 IPS |
|
|
Face Detection (HP)
|
100% |
19227
228.5 IPS |
|
|
Face Detection (Q)
|
97% |
11360
135.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
36562
281.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
61863
476.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
24730
198.1 IPS |
|
|
Style Transfer (SP)
|
100% |
129655
166.7 IPS |
|
|
Style Transfer (HP)
|
100% |
296902
381.7 IPS |
|
|
Style Transfer (Q)
|
98% |
100577
129.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23031
850.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30882
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14171
524.7 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3187
4.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1128
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1911
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (Q)
|
70% |
939
17.6 IPS |
