HP HP ZBook Fury 16 G10 Mobile Workstation PC
Geekbench AI Score
8599
Single Precision Score
15755
Half Precision Score
5972
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Merlion |
| Upload Date | February 23 2025 03:33 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 6GB Laptop GPU |
| 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% |
3125
581.1 IPS |
|
|
Image Classification (HP)
|
99% |
5807
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
2763
515.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5213
84.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8534
138.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4237
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39944
46.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
121478
141.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32447
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
4487
355.9 IPS |
|
|
Object Detection (HP)
|
100% |
8283
657.0 IPS |
|
|
Object Detection (Q)
|
84% |
3563
287.4 IPS |
|
|
Face Detection (SP)
|
100% |
8617
102.4 IPS |
|
|
Face Detection (HP)
|
100% |
15171
180.3 IPS |
|
|
Face Detection (Q)
|
97% |
7032
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20132
155.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42707
329.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
14756
118.3 IPS |
|
|
Style Transfer (SP)
|
100% |
69543
89.4 IPS |
|
|
Style Transfer (HP)
|
100% |
177346
228.0 IPS |
|
|
Style Transfer (Q)
|
98% |
53737
69.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12268
453.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22946
847.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7698
285.0 IPS |
|
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (HP)
|
99% |
2855
3.81 KIPS |
|
|
Text Classification (Q)
|
97% |
966
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2363
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1029
19.3 IPS |
