System manufacturer System Product Name
Geekbench AI Score
2296
Single Precision Score
2298
Half Precision Score
1805
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 10 2025 02:52 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1576
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (Q)
|
99% |
1175
219.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2585
41.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1260
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3335
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3313
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
4443
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
1770
140.4 IPS |
|
|
Object Detection (HP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (Q)
|
85% |
1466
118.0 IPS |
|
|
Face Detection (SP)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2780
33.0 IPS |
|
|
Face Detection (Q)
|
97% |
2904
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2564
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2561
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2250
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3342
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3299
4.24 IPS |
|
|
Style Transfer (Q)
|
98% |
6649
8.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1885
69.8 IPS |
|
|
Text Classification (SP)
|
100% |
1471
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
714
959.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2880
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (Q)
|
58% |
653
15.3 IPS |
