System manufacturer System Product Name
Geekbench AI Score
2361
Single Precision Score
2297
Half Precision Score
1813
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 21 2025 10:42 PM |
| Views | 13 |
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% |
1612
299.8 IPS |
|
|
Image Classification (HP)
|
100% |
1560
290.2 IPS |
|
|
Image Classification (Q)
|
99% |
1235
230.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2743
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1182
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3313
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
4414
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (Q)
|
85% |
1491
120.0 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2773
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
2869
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2564
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2632
20.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2253
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3333
4.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3323
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
6681
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1900
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (Q)
|
92% |
739
992.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (Q)
|
58% |
661
15.5 IPS |
