ASUS System Product Name
Geekbench AI Score
7161
Single Precision Score
2971
Half Precision Score
11370
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | VitorGTW1 |
| Upload Date | March 29 2026 04:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5513
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
988
183.7 IPS |
|
|
Image Classification (Q)
|
99% |
12914
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11011
179.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18412
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14251
16.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
78676
92.2 IPS |
|
|
Object Detection (SP)
|
100% |
5706
452.6 IPS |
|
|
Object Detection (HP)
|
100% |
1235
98.0 IPS |
|
|
Object Detection (Q)
|
86% |
13243
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
11325
134.6 IPS |
|
|
Face Detection (HP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
14931
178.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18363
141.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4110
31.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
34188
272.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35675
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31975
41.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64617
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4549
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3835
141.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3026
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
598
801.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3598
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4085
82.1 IPS |
