System manufacturer System Product Name
Geekbench AI Score
114
Single Precision Score
98
Half Precision Score
89
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | May 30 2025 01:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING II |
| 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 | 23.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
786
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (Q)
|
99% |
105
19.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
141
2.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
416
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
44
3.46 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.29 IPS |
|
|
Object Detection (Q)
|
85% |
53
4.27 IPS |
|
|
Face Detection (SP)
|
100% |
208
2.47 IPS |
|
|
Face Detection (HP)
|
100% |
193
2.29 IPS |
|
|
Face Detection (Q)
|
97% |
194
2.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
174
1.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
191
1.47 IPS |
|
|
Depth Estimation (Q)
|
63% |
141
1.33 IPS |
|
|
Style Transfer (SP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
550
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
754
0.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75
2.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
91
3.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
91
3.38 IPS |
|
|
Text Classification (SP)
|
100% |
6
8.36 IPS |
|
|
Text Classification (HP)
|
100% |
5
7.17 IPS |
|
|
Text Classification (Q)
|
92% |
6
7.67 IPS |
|
|
Machine Translation (SP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (HP)
|
100% |
12
0.20 IPS |
|
|
Machine Translation (Q)
|
58% |
9
0.22 IPS |
