HP HP ZBook Fury G1i 16 inch Mobile Workstation PC
Geekbench AI Score
5650
Single Precision Score
2182
Half Precision Score
9298
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| Upload Date | November 15 2025 01:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP ZBook Fury G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8DE2 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5040
937.3 IPS |
|
|
Image Classification (HP)
|
100% |
832
154.7 IPS |
|
|
Image Classification (Q)
|
99% |
8270
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14347
233.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13289
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7047
8.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
43482
51.0 IPS |
|
|
Object Detection (SP)
|
100% |
3447
273.4 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
86% |
10016
805.0 IPS |
|
|
Face Detection (SP)
|
100% |
9780
116.2 IPS |
|
|
Face Detection (HP)
|
100% |
2116
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
12554
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11606
89.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2780
21.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18381
146.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28866
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17211
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13911
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4990
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3096
114.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6207
229.9 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1420
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3305
66.4 IPS |
