System manufacturer System Product Name
Geekbench AI Score
2338
Single Precision Score
2303
Half Precision Score
1816
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 21 2025 02:58 PM |
| Views | 1 |
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% |
1593
296.3 IPS |
|
|
Image Classification (HP)
|
100% |
1577
293.3 IPS |
|
|
Image Classification (Q)
|
99% |
1221
227.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2649
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1218
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3292
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3278
3.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
4441
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (Q)
|
85% |
1474
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (Q)
|
97% |
2883
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2597
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2596
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2232
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3292
4.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3299
4.24 IPS |
|
|
Style Transfer (Q)
|
98% |
6748
8.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1759
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1863
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2964
51.1 IPS |
|
|
Machine Translation (Q)
|
58% |
664
15.6 IPS |
