HP HP ZBook Fury 15 G7 Mobile Workstation
Geekbench AI Score
2058
Single Precision Score
809
Half Precision Score
2459
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rintalahri |
| Upload Date | June 12 2025 07:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10885H |
| 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% |
1630
303.1 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (Q)
|
96% |
2293
428.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
1308
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3696
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2805
3.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
6070
7.18 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (Q)
|
58% |
1568
171.3 IPS |
|
|
Face Detection (SP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
796
9.46 IPS |
|
|
Face Detection (Q)
|
96% |
3895
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4767
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1152
8.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
5548
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8393
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6450
8.29 IPS |
|
|
Style Transfer (Q)
|
87% |
9272
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1572
58.2 IPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
387
517.0 IPS |
|
|
Text Classification (Q)
|
97% |
655
877.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
68% |
1376
26.6 IPS |
