System manufacturer System Product Name
Geekbench AI Score
2316
Single Precision Score
2325
Half Precision Score
1804
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 21 2025 10:58 PM |
| Views | 12 |
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% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
1593
296.2 IPS |
|
|
Image Classification (Q)
|
99% |
1224
228.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1277
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3319
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3317
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
4429
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (Q)
|
85% |
1462
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2781
33.0 IPS |
|
|
Face Detection (Q)
|
97% |
2740
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2597
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2599
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2243
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3333
4.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3336
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
6759
8.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1756
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1465
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
717
963.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (Q)
|
58% |
648
15.2 IPS |
