AMD 3700X System manufacturer System Product Name
Geekbench AI Score
1561
Single Precision Score
1565
Half Precision Score
1106
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | vipers6 |
| Upload Date | October 07 2025 09:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1097
204.0 IPS |
|
|
Image Classification (HP)
|
100% |
1077
200.3 IPS |
|
|
Image Classification (Q)
|
99% |
738
137.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
835
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2159
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2122
2.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2286
2.68 IPS |
|
|
Object Detection (SP)
|
100% |
1153
91.5 IPS |
|
|
Object Detection (HP)
|
100% |
1138
90.3 IPS |
|
|
Object Detection (Q)
|
85% |
684
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
1863
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
1870
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
1571
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1856
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1862
14.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1476
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2619
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2611
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
4183
5.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1182
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1121
41.5 IPS |
|
|
Text Classification (SP)
|
100% |
1185
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1133
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
536
720.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (Q)
|
58% |
490
11.5 IPS |
