System manufacturer System Product Name
Geekbench AI Score
2286
Single Precision Score
2353
Half Precision Score
1792
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 04:48 PM |
| Views | 2 |
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% |
1577
293.3 IPS |
|
|
Image Classification (HP)
|
100% |
1645
306.0 IPS |
|
|
Image Classification (Q)
|
99% |
1211
225.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1225
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3328
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3313
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
4407
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.4 IPS |
|
|
Object Detection (HP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (Q)
|
85% |
1465
117.9 IPS |
|
|
Face Detection (SP)
|
100% |
2767
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
2700
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2576
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2627
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2222
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3334
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3346
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6656
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1811
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1890
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
1355
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
727
976.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3235
55.7 IPS |
|
|
Machine Translation (Q)
|
58% |
652
15.3 IPS |
