System manufacturer System Product Name
Geekbench AI Score
2277
Single Precision Score
2251
Half Precision Score
1775
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 18 2025 12:08 AM |
| Views | 7 |
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% |
1562
290.5 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.5 IPS |
|
|
Image Classification (Q)
|
99% |
1189
221.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2560
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1179
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3236
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3216
3.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
4395
5.15 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (HP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (Q)
|
85% |
1444
116.3 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
2732
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2563
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2538
19.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2211
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3235
4.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3233
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
6560
8.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1740
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1886
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
741
996.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3031
52.2 IPS |
|
|
Machine Translation (Q)
|
58% |
633
14.9 IPS |
