System manufacturer System Product Name
Geekbench AI Score
2258
Single Precision Score
2271
Half Precision Score
1797
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 13 2025 12:58 AM |
| 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% |
1624
302.1 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.5 IPS |
|
|
Image Classification (Q)
|
99% |
1200
223.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2526
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1270
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3212
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3217
3.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
4284
5.02 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.5 IPS |
|
|
Object Detection (HP)
|
100% |
1631
129.3 IPS |
|
|
Object Detection (Q)
|
85% |
1451
116.8 IPS |
|
|
Face Detection (SP)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2864
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2488
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2570
19.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2233
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3246
4.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3224
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
6668
8.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1880
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1588
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
744
999.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2954
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (Q)
|
58% |
623
14.6 IPS |
