HP HP ZBook Fury 16 G10 Mobile Workstation PC
Geekbench AI Score
3677
Single Precision Score
1353
Half Precision Score
5979
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Merlion |
| Upload Date | February 23 2025 03:20 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP ZBook Fury 16 G10 Mobile Workstation PC |
| Motherboard | HP 8B92 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2836
527.4 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
99% |
5170
964.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
898
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2996
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6162
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3601
4.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
20701
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
86% |
5432
436.6 IPS |
|
|
Face Detection (SP)
|
100% |
7126
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
8099
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7888
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1865
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13422
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14748
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8835
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20409
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1778
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3803
140.8 IPS |
|
|
Text Classification (SP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
676
902.6 IPS |
|
|
Text Classification (Q)
|
97% |
1484
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2680
53.8 IPS |
