ASUS System Product Name
Geekbench AI Score
4393
Single Precision Score
1648
Half Precision Score
8450
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| 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 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3395
631.5 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
99% |
8589
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4117
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8912
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7161
8.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
37795
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
3292
261.1 IPS |
|
|
Object Detection (HP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
86% |
9658
776.2 IPS |
|
|
Face Detection (SP)
|
100% |
6742
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
11193
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9619
74.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2548
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19106
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19190
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18618
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33613
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2463
90.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2176
80.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3418
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
745
994.2 IPS |
|
|
Text Classification (Q)
|
97% |
1410
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4151
83.4 IPS |
