System manufacturer System Product Name
Geekbench AI Score
2320
Single Precision Score
2409
Half Precision Score
1831
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 17 2025 09:56 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% |
1560
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
1684
313.2 IPS |
|
|
Image Classification (Q)
|
99% |
1243
231.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2632
42.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1284
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3353
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3353
3.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
4422
5.18 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (Q)
|
85% |
1505
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
2803
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
2814
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2608
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2629
20.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2265
21.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3383
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3365
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6658
8.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1879
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3724
64.2 IPS |
|
|
Machine Translation (Q)
|
58% |
673
15.8 IPS |
