HP HP ZBook Fury 15 G7 Mobile Workstation
Geekbench AI Score
9528
Single Precision Score
16960
Half Precision Score
6647
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 11:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 3000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ZBook Fury 15 G7 Mobile Workstation |
| Motherboard | HP 8783 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10885H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3839
713.9 IPS |
|
|
Image Classification (HP)
|
100% |
7183
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
2954
551.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7641
123.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10346
167.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6069
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
38558
45.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
115192
134.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
33944
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
4713
373.9 IPS |
|
|
Object Detection (HP)
|
100% |
8617
683.5 IPS |
|
|
Object Detection (Q)
|
84% |
3612
291.3 IPS |
|
|
Face Detection (SP)
|
100% |
11718
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
20743
246.5 IPS |
|
|
Face Detection (Q)
|
97% |
9784
116.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20950
161.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
43446
334.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15932
127.1 IPS |
|
|
Style Transfer (SP)
|
100% |
70961
91.2 IPS |
|
|
Style Transfer (HP)
|
100% |
182655
234.8 IPS |
|
|
Style Transfer (Q)
|
98% |
61288
79.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13812
510.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22917
846.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8515
315.3 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.28 KIPS |
|
|
Text Classification (HP)
|
99% |
2596
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
779
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2726
47.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1209
22.7 IPS |
