ASUS System Product Name
Geekbench AI Score
10167
Single Precision Score
3698
Half Precision Score
15955
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Gorod |
| Upload Date | September 09 2025 04:13 PM |
| 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 APEX |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8887
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
1302
242.2 IPS |
|
|
Image Classification (Q)
|
99% |
15307
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2622
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18251
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18004
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14217
16.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
58289
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
8798
697.8 IPS |
|
|
Object Detection (HP)
|
100% |
1644
130.4 IPS |
|
|
Object Detection (Q)
|
86% |
15775
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
22086
262.4 IPS |
|
|
Face Detection (HP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (Q)
|
97% |
16639
198.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23318
179.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5030
38.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
39602
316.0 IPS |
|
|
Style Transfer (SP)
|
100% |
41399
53.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29535
38.0 IPS |
|
|
Style Transfer (Q)
|
98% |
50881
65.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6475
239.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7205
266.8 IPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2722
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
6277
108.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (Q)
|
65% |
6330
127.2 IPS |
