ASUS System Product Name
Geekbench AI Score
7682
Single Precision Score
3059
Half Precision Score
12806
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5580
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
962
178.9 IPS |
|
|
Image Classification (Q)
|
99% |
12317
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18106
294.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23648
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16141
18.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
68666
80.5 IPS |
|
|
Object Detection (SP)
|
100% |
6099
483.8 IPS |
|
|
Object Detection (HP)
|
100% |
1231
97.7 IPS |
|
|
Object Detection (Q)
|
86% |
14125
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
10832
128.7 IPS |
|
|
Face Detection (HP)
|
100% |
2697
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
15169
180.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18148
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4389
33.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
31132
248.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43809
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32645
42.0 IPS |
|
|
Style Transfer (Q)
|
98% |
53382
68.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3942
145.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2363
87.5 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1830
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4583
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5031
101.1 IPS |
