ASUS System Product Name
Geekbench AI Score
7716
Single Precision Score
3069
Half Precision Score
12730
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:25 PM |
| Views | 2 |
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% |
5520
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
984
182.9 IPS |
|
|
Image Classification (Q)
|
99% |
11021
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18176
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23512
27.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16129
18.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
68869
80.7 IPS |
|
|
Object Detection (SP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (HP)
|
100% |
1250
99.1 IPS |
|
|
Object Detection (Q)
|
86% |
14206
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
10831
128.7 IPS |
|
|
Face Detection (HP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
15218
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18465
142.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4415
34.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
31190
248.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42838
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32890
42.3 IPS |
|
|
Style Transfer (Q)
|
98% |
53837
69.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4833
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3893
143.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2283
84.5 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1880
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4721
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5201
104.5 IPS |
