System manufacturer System Product Name
Geekbench AI Score
2287
Single Precision Score
2268
Half Precision Score
1807
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 21 2025 10:11 PM |
| Views | 10 |
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% |
1557
289.5 IPS |
|
|
Image Classification (HP)
|
100% |
1608
299.0 IPS |
|
|
Image Classification (Q)
|
99% |
1227
228.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2702
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1179
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3327
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3322
3.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
4396
5.15 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
100% |
1714
136.0 IPS |
|
|
Object Detection (Q)
|
85% |
1501
120.8 IPS |
|
|
Face Detection (SP)
|
100% |
2736
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
2876
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2587
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2595
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2240
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3325
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3330
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
6637
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1740
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1705
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1864
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
1353
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
754
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (Q)
|
58% |
648
15.2 IPS |
