System manufacturer System Product Name
Geekbench AI Score
2395
Single Precision Score
2359
Half Precision Score
1841
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 09 2025 03:02 PM |
| Views | 3 |
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% |
1619
301.2 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.5 IPS |
|
|
Image Classification (Q)
|
99% |
1233
230.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2589
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1310
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3438
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3431
4.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
4446
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
1741
138.1 IPS |
|
|
Object Detection (HP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (Q)
|
85% |
1505
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
2863
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
2919
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2695
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2692
20.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2250
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3470
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3475
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
6701
8.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1878
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1593
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (Q)
|
58% |
670
15.7 IPS |
