HP HP ZBook Fury 15 G7 Mobile Workstation
Geekbench AI Score
2555
Single Precision Score
2555
Half Precision Score
3654
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rintalahri |
| Upload Date | June 12 2025 07:49 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% |
999
185.7 IPS |
|
|
Image Classification (HP)
|
100% |
1073
199.6 IPS |
|
|
Image Classification (Q)
|
100% |
2048
380.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3112
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3327
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3304
3.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
6633
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (Q)
|
87% |
2499
200.4 IPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (Q)
|
97% |
7123
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4362
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4310
33.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
6836
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9877
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9759
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19420
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3929
145.5 IPS |
|
|
Text Classification (SP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (Q)
|
91% |
504
678.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2147
37.0 IPS |
