System manufacturer System Product Name
Geekbench AI Score
2400
Single Precision Score
2418
Half Precision Score
1841
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 13 2025 09:31 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% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
1654
307.6 IPS |
|
|
Image Classification (Q)
|
99% |
1244
232.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2640
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1287
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3412
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3426
4.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
4416
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
1754
139.1 IPS |
|
|
Object Detection (Q)
|
85% |
1504
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
2881
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2691
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2678
20.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2243
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3460
4.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3433
4.41 IPS |
|
|
Style Transfer (Q)
|
98% |
6749
8.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1778
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1893
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (Q)
|
58% |
673
15.8 IPS |
