ASUS System Product Name
Geekbench AI Score
4086
Single Precision Score
1539
Half Precision Score
5792
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 12:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3014
560.4 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (Q)
|
96% |
5435
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2950
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8634
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6241
7.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
19151
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
3237
256.7 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
58% |
4425
483.5 IPS |
|
|
Face Detection (SP)
|
100% |
6318
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
1472
17.5 IPS |
|
|
Face Detection (Q)
|
96% |
9425
112.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9949
76.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2384
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14494
115.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19036
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17115
22.0 IPS |
|
|
Style Transfer (Q)
|
87% |
20811
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3088
114.4 IPS |
|
|
Text Classification (SP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
611
816.1 IPS |
|
|
Text Classification (Q)
|
97% |
1316
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2064
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2711
52.4 IPS |
