System manufacturer System Product Name
Geekbench AI Score
2245
Single Precision Score
2274
Half Precision Score
1767
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 18 2025 01:11 AM |
| Views | 15 |
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% |
1665
309.6 IPS |
|
|
Image Classification (HP)
|
100% |
1586
295.0 IPS |
|
|
Image Classification (Q)
|
99% |
1210
225.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1257
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3277
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3244
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
4340
5.09 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
1671
132.6 IPS |
|
|
Object Detection (Q)
|
85% |
1418
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
2661
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2480
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2507
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2176
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3244
4.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3262
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
6556
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1898
70.3 IPS |
|
|
Text Classification (SP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
696
935.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2772
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3240
55.8 IPS |
|
|
Machine Translation (Q)
|
58% |
634
14.9 IPS |
