HP HP ZBook Fury 16 G10 Mobile Workstation PC
Geekbench AI Score
20077
Single Precision Score
31797
Half Precision Score
15325
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | OracleDBA |
| Upload Date | October 17 2024 10:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation Laptop GPU |
| 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% |
8075
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
12325
2.30 KIPS |
|
|
Image Classification (Q)
|
100% |
7133
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12639
204.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18075
293.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12772
207.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
117777
137.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
301151
351.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
117839
138.0 IPS |
|
|
Object Detection (SP)
|
100% |
9895
784.9 IPS |
|
|
Object Detection (HP)
|
100% |
15040
1.19 KIPS |
|
|
Object Detection (Q)
|
89% |
8172
654.2 IPS |
|
|
Face Detection (SP)
|
100% |
26527
315.2 IPS |
|
|
Face Detection (HP)
|
100% |
36185
430.0 IPS |
|
|
Face Detection (Q)
|
97% |
20800
248.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44101
339.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88301
680.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
36251
292.4 IPS |
|
|
Style Transfer (SP)
|
100% |
226981
291.8 IPS |
|
|
Style Transfer (HP)
|
100% |
544541
700.0 IPS |
|
|
Style Transfer (Q)
|
98% |
196808
253.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34052
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47899
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26956
998.1 IPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3509
4.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1455
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1400
31.2 IPS |
