HP HP ZBook Fury 16 G10 Mobile Workstation PC
Geekbench AI Score
2664
Single Precision Score
976
Half Precision Score
3664
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | OracleDBA |
| Upload Date | October 17 2024 10:38 PM |
| Views | 6 |
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% |
1456
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
99% |
2725
508.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2626
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6746
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2899
3.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
22631
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.0 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
88% |
1404
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
3206
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5597
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1244
9.58 IPS |
|
|
Depth Estimation (Q)
|
77% |
5834
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15664
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8271
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16761
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2541
93.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3262
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
466
621.9 IPS |
|
|
Text Classification (Q)
|
97% |
1017
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
60% |
1849
41.3 IPS |
