System manufacturer System Product Name
Geekbench AI Score
2373
Single Precision Score
2424
Half Precision Score
1833
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 13 2025 09:16 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% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
1626
302.5 IPS |
|
|
Image Classification (Q)
|
99% |
1246
232.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1290
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3415
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3404
3.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
4408
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
100% |
1781
141.2 IPS |
|
|
Object Detection (Q)
|
85% |
1499
120.7 IPS |
|
|
Face Detection (SP)
|
100% |
2803
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
2813
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
2814
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2658
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2728
21.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2255
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3456
4.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3452
4.44 IPS |
|
|
Style Transfer (Q)
|
98% |
6760
8.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1845
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1859
68.9 IPS |
|
|
Text Classification (SP)
|
100% |
1361
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
754
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (Q)
|
58% |
674
15.8 IPS |
