HP HP ZBook Fury 16 G10 Mobile Workstation PC
Geekbench AI Score
20060
Single Precision Score
31085
Half Precision Score
15554
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | OracleDBA |
| Upload Date | October 25 2024 03:29 AM |
| Views | 8 |
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% |
8716
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
13081
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
7163
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13747
222.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16853
273.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12868
209.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
131975
154.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
300803
351.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
119742
140.2 IPS |
|
|
Object Detection (SP)
|
100% |
9717
770.8 IPS |
|
|
Object Detection (HP)
|
100% |
13663
1.08 KIPS |
|
|
Object Detection (Q)
|
89% |
8734
699.2 IPS |
|
|
Face Detection (SP)
|
100% |
24203
287.6 IPS |
|
|
Face Detection (HP)
|
100% |
31341
372.4 IPS |
|
|
Face Detection (Q)
|
97% |
22526
268.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
43639
336.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
93010
716.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
35717
288.1 IPS |
|
|
Style Transfer (SP)
|
100% |
205329
264.0 IPS |
|
|
Style Transfer (HP)
|
100% |
565823
727.4 IPS |
|
|
Style Transfer (Q)
|
98% |
184562
238.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34998
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52321
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27486
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3696
4.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1517
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2915
50.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1389
31.0 IPS |
