ASUS System Product Name
Geekbench AI Score
3933
Single Precision Score
1783
Half Precision Score
4417
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mr_javer |
| Upload Date | September 20 2025 07:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2955
549.4 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.6 IPS |
|
|
Image Classification (Q)
|
96% |
4465
833.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
3103
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5561
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4549
5.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
10624
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2802
222.3 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
58% |
2833
309.5 IPS |
|
|
Face Detection (SP)
|
100% |
6419
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (Q)
|
96% |
7805
93.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7300
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2404
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10235
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13501
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11131
14.3 IPS |
|
|
Style Transfer (Q)
|
87% |
16241
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2579
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2225
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3844
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
429
575.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2955
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (Q)
|
68% |
3172
61.3 IPS |
