System manufacturer System Product Name
Geekbench AI Score
2344
Single Precision Score
2289
Half Precision Score
1812
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 17 2025 05:43 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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.3 IPS |
|
|
Image Classification (Q)
|
99% |
1262
235.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2696
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1170
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3317
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3306
3.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
4442
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
1714
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
1695
134.5 IPS |
|
|
Object Detection (Q)
|
85% |
1474
118.6 IPS |
|
|
Face Detection (SP)
|
100% |
2772
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
2878
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2619
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2621
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2235
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3330
4.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3323
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
6639
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1837
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3063
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3213
55.3 IPS |
|
|
Machine Translation (Q)
|
58% |
674
15.8 IPS |
