HP HP ZBook Fury 17.3 inch G8 Mobile Workstation PC
Geekbench AI Score
14439
Single Precision Score
25623
Half Precision Score
9582
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 07:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6101
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
9852
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
4535
843.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10281
166.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16386
265.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8232
133.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
66515
77.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
207221
241.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
54854
64.3 IPS |
|
|
Object Detection (SP)
|
100% |
7421
588.7 IPS |
|
|
Object Detection (HP)
|
100% |
13650
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
5529
445.1 IPS |
|
|
Face Detection (SP)
|
100% |
17897
212.7 IPS |
|
|
Face Detection (HP)
|
100% |
29963
356.0 IPS |
|
|
Face Detection (Q)
|
97% |
13873
165.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34538
266.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71010
547.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23575
188.7 IPS |
|
|
Style Transfer (SP)
|
100% |
110069
141.5 IPS |
|
|
Style Transfer (HP)
|
100% |
318404
409.3 IPS |
|
|
Style Transfer (Q)
|
98% |
91236
117.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22049
814.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34949
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13518
500.6 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3200
4.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1151
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1242
23.3 IPS |
