System manufacturer System Product Name
Geekbench AI Score
2298
Single Precision Score
2306
Half Precision Score
1815
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 06:31 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% |
1559
290.0 IPS |
|
|
Image Classification (HP)
|
100% |
1572
292.3 IPS |
|
|
Image Classification (Q)
|
99% |
1226
228.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2557
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1263
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3305
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3304
3.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
4436
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (Q)
|
85% |
1476
118.8 IPS |
|
|
Face Detection (SP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
2874
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2558
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2609
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2219
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3334
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3347
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6775
8.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1879
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1337
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2848
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3377
58.2 IPS |
|
|
Machine Translation (Q)
|
58% |
633
14.9 IPS |
