HP HP ZBook Fury G1i 16 inch Mobile Workstation PC
Geekbench AI Score
5346
Single Precision Score
2122
Half Precision Score
9371
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 09:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8DE2 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4985
927.1 IPS |
|
|
Image Classification (HP)
|
100% |
829
154.2 IPS |
|
|
Image Classification (Q)
|
99% |
9485
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14368
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12208
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
6356
7.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
39467
46.3 IPS |
|
|
Object Detection (SP)
|
100% |
4235
335.9 IPS |
|
|
Object Detection (HP)
|
100% |
1064
84.4 IPS |
|
|
Object Detection (Q)
|
86% |
9229
741.7 IPS |
|
|
Face Detection (SP)
|
100% |
10033
119.2 IPS |
|
|
Face Detection (HP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
12621
150.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13744
105.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2863
22.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11690
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20153
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13958
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16958
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2932
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2182
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7011
259.6 IPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1623
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3696
74.3 IPS |
