HP HP ZBook Fury G1i 16 inch Mobile Workstation PC
Geekbench AI Score
26089
Single Precision Score
44544
Half Precision Score
20982
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| Upload Date | November 15 2025 01:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 5000 Blackwell Generation Laptop GPU |
| 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% |
11033
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
16736
3.11 KIPS |
|
|
Image Classification (Q)
|
100% |
9737
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18209
295.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23785
385.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16876
274.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
160221
187.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
479326
559.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
138246
161.9 IPS |
|
|
Object Detection (SP)
|
100% |
13634
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
20227
1.60 KIPS |
|
|
Object Detection (Q)
|
86% |
11981
962.6 IPS |
|
|
Face Detection (SP)
|
100% |
37273
442.9 IPS |
|
|
Face Detection (HP)
|
100% |
51900
616.7 IPS |
|
|
Face Detection (Q)
|
97% |
32344
385.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
66654
513.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
147207
1.13 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54259
433.3 IPS |
|
|
Style Transfer (SP)
|
100% |
239289
307.6 IPS |
|
|
Style Transfer (HP)
|
100% |
770792
990.9 IPS |
|
|
Style Transfer (Q)
|
98% |
212261
273.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36835
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67169
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30958
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3143
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4079
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2022
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4838
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2606
48.9 IPS |
