ASUS System Product Name
Geekbench AI Score
5165
Single Precision Score
1298
Half Precision Score
6776
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | isanych |
| Upload Date | August 19 2024 10:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2446
454.9 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (Q)
|
99% |
6629
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
3632
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18350
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13146
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
71912
84.3 IPS |
|
|
Object Detection (SP)
|
100% |
2904
230.4 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.5 IPS |
|
|
Object Detection (Q)
|
88% |
2978
238.7 IPS |
|
|
Face Detection (SP)
|
100% |
4121
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (Q)
|
97% |
6299
75.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11679
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1459
11.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
14615
117.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33229
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30439
39.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45193
58.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4007
148.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3497
129.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5852
216.7 IPS |
|
|
Text Classification (SP)
|
100% |
2199
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
546
731.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2978
66.4 IPS |
