HP HP ZBook Fury 15 G7 Mobile Workstation
Geekbench AI Score
2666
Single Precision Score
2658
Half Precision Score
3719
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rintalahri |
| Upload Date | June 12 2025 07:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10885H CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury 15 G7 Mobile Workstation |
| Motherboard | HP 8783 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1523
283.3 IPS |
|
|
Image Classification (HP)
|
100% |
1496
278.1 IPS |
|
|
Image Classification (Q)
|
100% |
2484
461.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3148
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3301
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3297
3.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
6615
7.76 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.3 IPS |
|
|
Object Detection (HP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (Q)
|
87% |
2562
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
7009
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4269
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4304
33.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
7010
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10114
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9814
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18958
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3719
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (Q)
|
91% |
492
661.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2244
38.7 IPS |
