HP HP ZBook Fury 17.3 inch G8 Mobile Workstation PC
Geekbench AI Score
2841
Single Precision Score
1270
Half Precision Score
6547
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 07:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| 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% |
2400
446.2 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
99% |
6394
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7623
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4076
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3383
3.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
16437
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2031
161.1 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (Q)
|
86% |
5812
467.1 IPS |
|
|
Face Detection (SP)
|
100% |
4529
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
7956
94.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5512
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1760
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11907
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9519
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8185
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17904
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5425
200.9 IPS |
|
|
Text Classification (SP)
|
100% |
1569
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1303
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2594
52.1 IPS |
