System manufacturer System Product Name
Geekbench AI Score
2298
Single Precision Score
2334
Half Precision Score
1827
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 13 2025 05:49 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% |
1620
301.2 IPS |
|
|
Image Classification (HP)
|
100% |
1583
294.4 IPS |
|
|
Image Classification (Q)
|
99% |
1247
232.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2557
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1285
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3349
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3371
3.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
4377
5.13 IPS |
|
|
Object Detection (SP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (HP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (Q)
|
85% |
1504
121.0 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
2842
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2671
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2664
20.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2246
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3381
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3384
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
6684
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1754
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1883
69.8 IPS |
|
|
Text Classification (SP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1598
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
755
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2952
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2829
48.7 IPS |
|
|
Machine Translation (Q)
|
58% |
649
15.2 IPS |
