System manufacturer System Product Name
Geekbench AI Score
2298
Single Precision Score
2310
Half Precision Score
1805
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 15 2025 10:07 AM |
| Views | 10 |
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% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
1568
291.6 IPS |
|
|
Image Classification (Q)
|
99% |
1196
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2512
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1244
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3296
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3330
3.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
4411
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (Q)
|
85% |
1477
118.9 IPS |
|
|
Face Detection (SP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
2874
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2594
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2554
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2249
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3363
4.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3347
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6599
8.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1769
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1853
68.7 IPS |
|
|
Text Classification (SP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
739
992.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (Q)
|
58% |
649
15.2 IPS |
