System manufacturer System Product Name
Geekbench AI Score
1327
Single Precision Score
1318
Half Precision Score
944
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Polaris10XT |
| Upload Date | October 25 2025 11:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350M-A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.97 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
890
165.5 IPS |
|
|
Image Classification (HP)
|
100% |
908
168.8 IPS |
|
|
Image Classification (Q)
|
99% |
555
103.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
711
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1842
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1839
2.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
1832
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (HP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (Q)
|
85% |
613
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1376
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1558
12.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1263
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2096
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2094
2.69 IPS |
|
|
Style Transfer (Q)
|
98% |
3445
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1041
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
933
34.6 IPS |
|
|
Text Classification (SP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
501
673.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (Q)
|
58% |
455
10.7 IPS |
