ASUS System Product Name
Geekbench AI Score
4053
Single Precision Score
1550
Half Precision Score
7719
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | WarCannon |
| Upload Date | March 06 2025 03:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3163
588.1 IPS |
|
|
Image Classification (HP)
|
100% |
505
94.0 IPS |
|
|
Image Classification (Q)
|
99% |
7753
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3465
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8920
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6528
7.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
32996
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
3005
238.4 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
86% |
8889
714.4 IPS |
|
|
Face Detection (SP)
|
100% |
6296
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
1343
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
11261
134.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8908
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2327
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17264
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18558
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17361
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31336
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2081
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3272
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
665
888.0 IPS |
|
|
Text Classification (Q)
|
97% |
1385
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2434
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3456
69.4 IPS |
