HP HP ZBook Fury 16 G10 Mobile Workstation PC
Geekbench AI Score
3132
Single Precision Score
1144
Half Precision Score
4357
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | OracleDBA |
| Upload Date | October 25 2024 03:32 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13950HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 i9-13950HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1852
344.4 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.9 IPS |
|
|
Image Classification (Q)
|
99% |
3154
588.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2987
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7876
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3694
4.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
22388
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (Q)
|
88% |
1760
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
3677
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6696
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1572
12.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7461
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16642
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9077
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19358
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2701
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4333
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
1198
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
473
630.9 IPS |
|
|
Text Classification (Q)
|
97% |
1351
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
60% |
2139
47.7 IPS |
