ASUS System Product Name
Geekbench AI Score
2366
Single Precision Score
2418
Half Precision Score
1204
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 11:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-K |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1942
361.1 IPS |
|
|
Image Classification (HP)
|
100% |
1941
360.9 IPS |
|
|
Image Classification (Q)
|
99% |
729
136.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
862
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2454
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2443
2.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
2128
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
1975
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (Q)
|
85% |
781
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
2041
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2643
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2624
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1568
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2642
3.40 IPS |
|
|
Style Transfer (HP)
|
100% |
2614
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
4258
5.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1137
42.1 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2184
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
666
894.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2964
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3017
52.0 IPS |
|
|
Machine Translation (Q)
|
58% |
594
13.9 IPS |
