System manufacturer System Product Name
Geekbench AI Score
2330
Single Precision Score
2307
Half Precision Score
1812
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 08:26 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% |
1637
304.3 IPS |
|
|
Image Classification (HP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (Q)
|
99% |
1230
229.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1237
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3318
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
4441
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (HP)
|
100% |
1754
139.1 IPS |
|
|
Object Detection (Q)
|
85% |
1471
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
2839
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2616
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2625
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2214
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3335
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3274
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
6692
8.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1899
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (Q)
|
58% |
643
15.1 IPS |
