System manufacturer System Product Name
Geekbench AI Score
2328
Single Precision Score
2319
Half Precision Score
1811
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 10 2025 03:12 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% |
1582
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
1603
298.2 IPS |
|
|
Image Classification (Q)
|
99% |
1216
226.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1217
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3330
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3352
3.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
4463
5.23 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (Q)
|
85% |
1484
119.5 IPS |
|
|
Face Detection (SP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
2825
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2596
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2605
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2245
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3364
4.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3359
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
6827
8.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1819
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1848
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3019
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2946
50.8 IPS |
|
|
Machine Translation (Q)
|
58% |
647
15.2 IPS |
