System manufacturer System Product Name
Geekbench AI Score
2284
Single Precision Score
2282
Half Precision Score
1790
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 10 2025 07:37 PM |
| Views | 2 |
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% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
1561
290.2 IPS |
|
|
Image Classification (Q)
|
99% |
1236
230.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1223
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3234
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
4435
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.4 IPS |
|
|
Object Detection (HP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (Q)
|
85% |
1455
117.1 IPS |
|
|
Face Detection (SP)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
2723
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
2769
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2554
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2607
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2218
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3123
4.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3252
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
6589
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1736
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1879
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (Q)
|
92% |
719
966.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (Q)
|
58% |
636
14.9 IPS |
