System manufacturer System Product Name
Geekbench AI Score
1400
Single Precision Score
1400
Half Precision Score
951
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | stornic56 |
| Upload Date | March 23 2026 08:09 PM |
| Views | 10 |
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 | 15.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
959
178.3 IPS |
|
|
Image Classification (HP)
|
100% |
966
179.7 IPS |
|
|
Image Classification (Q)
|
99% |
569
106.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1967
2.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1844
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (HP)
|
100% |
1056
83.7 IPS |
|
|
Object Detection (Q)
|
85% |
609
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
1727
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
1731
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
1357
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1654
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1666
12.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1262
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2268
2.92 IPS |
|
|
Style Transfer (HP)
|
100% |
2265
2.91 IPS |
|
|
Style Transfer (Q)
|
98% |
3538
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1079
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
938
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
92% |
501
673.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (Q)
|
58% |
460
10.8 IPS |
