ASUS System Product Name
Geekbench AI Score
6822
Single Precision Score
2954
Half Precision Score
8058
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | September 17 2024 06:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2875
534.6 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
99% |
7270
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4131
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
30466
35.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18086
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
85720
100.5 IPS |
|
|
Object Detection (SP)
|
100% |
3551
281.7 IPS |
|
|
Object Detection (HP)
|
100% |
1149
91.1 IPS |
|
|
Object Detection (Q)
|
88% |
3674
294.5 IPS |
|
|
Face Detection (SP)
|
100% |
5443
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
2662
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
7659
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14718
113.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4312
33.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
15888
127.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53189
68.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38330
49.3 IPS |
|
|
Style Transfer (Q)
|
98% |
52328
67.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5510
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7126
263.9 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
631
844.9 IPS |
|
|
Machine Translation (SP)
|
100% |
4415
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
60% |
4267
95.2 IPS |
