System manufacturer System Product Name
Geekbench AI Score
516
Single Precision Score
492
Half Precision Score
454
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 17 2025 10:56 PM |
| Views | 8 |
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% |
1551
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.5 IPS |
|
|
Image Classification (Q)
|
99% |
1182
220.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1102
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3063
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2826
3.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
2070
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.2 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.90 IPS |
|
|
Object Detection (Q)
|
85% |
146
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
506
6.01 IPS |
|
|
Face Detection (HP)
|
100% |
571
6.78 IPS |
|
|
Face Detection (Q)
|
97% |
615
7.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
546
4.21 IPS |
|
|
Depth Estimation (Q)
|
63% |
516
4.84 IPS |
|
|
Style Transfer (SP)
|
100% |
1575
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
1569
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3562
4.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
265
9.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
265
9.83 IPS |
|
|
Text Classification (SP)
|
100% |
33
44.1 IPS |
|
|
Text Classification (HP)
|
100% |
14
18.5 IPS |
|
|
Text Classification (Q)
|
92% |
15
20.8 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
58% |
213
5.00 IPS |
