ASUS System Product Name
Geekbench AI Score
4717
Single Precision Score
2160
Half Precision Score
6503
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 01 2024 05:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2240
416.6 IPS |
|
|
Image Classification (HP)
|
100% |
645
120.0 IPS |
|
|
Image Classification (Q)
|
99% |
6400
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3220
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13916
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10556
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
61071
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
2890
229.2 IPS |
|
|
Object Detection (HP)
|
100% |
844
66.9 IPS |
|
|
Object Detection (Q)
|
88% |
2990
239.7 IPS |
|
|
Face Detection (SP)
|
100% |
3920
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
1867
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
6394
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10601
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3313
25.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12350
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27093
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24468
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
42331
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3147
116.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5612
207.8 IPS |
|
|
Text Classification (SP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
597
798.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3210
71.6 IPS |
