System manufacturer System Product Name
Geekbench AI Score
2332
Single Precision Score
2366
Half Precision Score
1829
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 11:41 AM |
| 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% |
1687
313.8 IPS |
|
|
Image Classification (HP)
|
100% |
1570
291.9 IPS |
|
|
Image Classification (Q)
|
99% |
1248
232.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2732
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1213
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3356
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3389
3.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
4461
5.23 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (Q)
|
85% |
1501
120.8 IPS |
|
|
Face Detection (SP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2894
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2644
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2692
20.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2298
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3397
4.37 IPS |
|
|
Style Transfer (HP)
|
100% |
3380
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
6776
8.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1851
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3242
55.9 IPS |
|
|
Machine Translation (Q)
|
58% |
660
15.5 IPS |
