Hero 4 ASUS System Product Name ASUS System Product Name
Geekbench AI Score
3002
Single Precision Score
1248
Half Precision Score
5010
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | seroz62 |
| Upload Date | December 08 2024 11:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.3 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (Q)
|
96% |
4704
878.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2769
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7309
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5101
5.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
17771
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2021
160.3 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
58% |
3590
392.3 IPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (Q)
|
96% |
8311
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6736
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1907
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11616
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16138
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13721
17.6 IPS |
|
|
Style Transfer (Q)
|
87% |
15701
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1823
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2789
103.3 IPS |
|
|
Text Classification (SP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
501
669.3 IPS |
|
|
Text Classification (Q)
|
97% |
1205
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (Q)
|
68% |
2355
45.5 IPS |
