System manufacturer System Product Name
Geekbench AI Score
2173
Single Precision Score
2167
Half Precision Score
1774
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 17 2025 09:25 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% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.5 IPS |
|
|
Image Classification (Q)
|
99% |
1256
234.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2582
41.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1256
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3242
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3172
3.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
4293
5.03 IPS |
|
|
Object Detection (SP)
|
100% |
1635
129.7 IPS |
|
|
Object Detection (HP)
|
100% |
1652
131.1 IPS |
|
|
Object Detection (Q)
|
85% |
1470
118.3 IPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
2831
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2509
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2348
18.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2072
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3303
4.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3304
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
6528
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1678
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1848
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1150
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
720
966.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2575
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2569
44.3 IPS |
|
|
Machine Translation (Q)
|
58% |
609
14.3 IPS |
