HP HP ZBook Fury 17.3 inch G8 Mobile Workstation PC
Geekbench AI Score
4881
Single Precision Score
4911
Half Precision Score
12881
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 02:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-11955M CPU @ 2.60GHz |
| 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% |
3349
622.9 IPS |
|
|
Image Classification (HP)
|
100% |
3304
614.4 IPS |
|
|
Image Classification (Q)
|
100% |
8897
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3997
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3952
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8917
144.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5967
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
5948
6.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
24056
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2874
228.0 IPS |
|
|
Object Detection (HP)
|
100% |
2899
230.0 IPS |
|
|
Object Detection (Q)
|
88% |
8973
719.3 IPS |
|
|
Face Detection (SP)
|
100% |
5633
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
5654
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
22074
262.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7423
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7478
57.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
22587
175.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16156
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16506
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
62509
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3592
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3709
136.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12396
459.1 IPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (Q)
|
92% |
4202
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4526
78.0 IPS |
