ASUS System Product Name
Geekbench AI Score
4969
Single Precision Score
1803
Half Precision Score
8711
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 24 2025 11:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3873
720.2 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.1 IPS |
|
|
Image Classification (Q)
|
99% |
8345
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4111
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10914
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8188
9.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
37344
43.8 IPS |
|
|
Object Detection (SP)
|
100% |
3959
314.0 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
86% |
9577
769.7 IPS |
|
|
Face Detection (SP)
|
100% |
7895
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
10728
127.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11048
85.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2760
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
20023
159.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24516
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20017
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38930
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2518
93.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2369
87.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4143
153.4 IPS |
|
|
Text Classification (SP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1519
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2834
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3898
78.3 IPS |
