System manufacturer System Product Name
Geekbench AI Score
2363
Single Precision Score
2381
Half Precision Score
1831
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 16 2025 02:40 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% |
1605
298.5 IPS |
|
|
Image Classification (HP)
|
100% |
1588
295.4 IPS |
|
|
Image Classification (Q)
|
99% |
1238
230.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2726
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1294
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3338
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3339
3.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
4435
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (Q)
|
85% |
1488
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
2867
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2590
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2694
20.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2255
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3373
4.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3378
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
6669
8.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1879
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1594
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
739
993.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (Q)
|
58% |
672
15.8 IPS |
