System manufacturer System Product Name
Geekbench AI Score
2302
Single Precision Score
2281
Half Precision Score
1805
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 17 2025 02:50 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% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
1571
292.2 IPS |
|
|
Image Classification (Q)
|
99% |
1248
232.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1202
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3307
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
4438
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (HP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (Q)
|
85% |
1478
119.0 IPS |
|
|
Face Detection (SP)
|
100% |
2783
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (Q)
|
97% |
2739
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2564
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2587
19.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2227
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3310
4.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3323
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
6716
8.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1868
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1411
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
740
994.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3025
52.1 IPS |
|
|
Machine Translation (Q)
|
58% |
661
15.5 IPS |
