ASUS System Product Name
Geekbench AI Score
3963
Single Precision Score
1557
Half Precision Score
8020
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | February 05 2025 01:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2866
532.9 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.8 IPS |
|
|
Image Classification (Q)
|
99% |
7502
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3945
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7288
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
5809
6.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
30578
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2849
226.0 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
9020
724.9 IPS |
|
|
Face Detection (SP)
|
100% |
6301
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
1518
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
11376
135.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8508
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2440
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17540
140.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16678
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15138
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32894
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2254
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3858
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
708
945.3 IPS |
|
|
Text Classification (Q)
|
97% |
1502
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3547
71.3 IPS |
