ASUS System Product Name
Geekbench AI Score
7878
Single Precision Score
3102
Half Precision Score
13542
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 11:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5646
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
949
176.4 IPS |
|
|
Image Classification (Q)
|
99% |
13154
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21191
344.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28601
33.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16957
19.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
82832
97.1 IPS |
|
|
Object Detection (SP)
|
100% |
5886
466.8 IPS |
|
|
Object Detection (HP)
|
100% |
1226
97.2 IPS |
|
|
Object Detection (Q)
|
86% |
14403
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
10982
130.5 IPS |
|
|
Face Detection (HP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
15694
187.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19847
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4617
35.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
31478
251.2 IPS |
|
|
Style Transfer (SP)
|
100% |
45810
58.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38430
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
54264
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4509
166.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3928
145.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2630
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1866
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3999
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4743
95.3 IPS |
