System manufacturer System Product Name
Geekbench AI Score
92
Single Precision Score
81
Half Precision Score
84
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | May 30 2025 01:44 AM |
| Views | 12 |
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% |
151
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
35
6.59 IPS |
|
|
Image Classification (Q)
|
99% |
35
6.47 IPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
111
1.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
410
0.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
535
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
56
4.42 IPS |
|
|
Object Detection (HP)
|
100% |
55
4.37 IPS |
|
|
Object Detection (Q)
|
85% |
49
3.93 IPS |
|
|
Face Detection (SP)
|
100% |
173
2.06 IPS |
|
|
Face Detection (HP)
|
100% |
177
2.10 IPS |
|
|
Face Detection (Q)
|
97% |
166
1.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
195
1.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
161
1.24 IPS |
|
|
Depth Estimation (Q)
|
63% |
121
1.13 IPS |
|
|
Style Transfer (SP)
|
100% |
514
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
702
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
934
1.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
105
3.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
92
3.41 IPS |
|
|
Text Classification (SP)
|
100% |
6
7.37 IPS |
|
|
Text Classification (HP)
|
100% |
5
6.47 IPS |
|
|
Text Classification (Q)
|
92% |
6
8.24 IPS |
|
|
Machine Translation (SP)
|
100% |
11
0.20 IPS |
|
|
Machine Translation (HP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (Q)
|
58% |
17
0.39 IPS |
