ASUS System Product Name
Geekbench AI Score
5834
Single Precision Score
1918
Half Precision Score
7983
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | f180n4cc1 |
| Upload Date | January 02 2025 09:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4508
838.3 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.6 IPS |
|
|
Image Classification (Q)
|
99% |
8820
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3535
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16161
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10501
12.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
45090
52.9 IPS |
|
|
Object Detection (SP)
|
100% |
4716
374.1 IPS |
|
|
Object Detection (HP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (Q)
|
86% |
8882
713.9 IPS |
|
|
Face Detection (SP)
|
100% |
8396
99.8 IPS |
|
|
Face Detection (HP)
|
100% |
1497
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
12016
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14908
114.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2947
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22919
182.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29311
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25886
33.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46787
60.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2504
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3965
146.8 IPS |
|
|
Text Classification (SP)
|
100% |
1594
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
444
594.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3713
74.6 IPS |
