System manufacturer System Product Name
Geekbench AI Score
2297
Single Precision Score
2282
Half Precision Score
1821
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 21 2025 11:30 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% |
1630
303.1 IPS |
|
|
Image Classification (HP)
|
100% |
1571
292.2 IPS |
|
|
Image Classification (Q)
|
99% |
1227
228.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1284
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3280
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3285
3.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
4417
5.18 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (Q)
|
85% |
1458
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
2869
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2611
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2617
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2285
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3336
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3334
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
6720
8.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1839
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1472
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
742
997.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2807
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2907
50.1 IPS |
|
|
Machine Translation (Q)
|
58% |
661
15.5 IPS |
