System manufacturer System Product Name
Geekbench AI Score
2284
Single Precision Score
2266
Half Precision Score
1785
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 11:06 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% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (Q)
|
99% |
1185
221.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1233
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3197
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3221
3.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
4375
5.13 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (Q)
|
85% |
1460
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
2746
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
2782
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2647
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2547
19.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2242
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3222
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3232
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
6648
8.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1869
69.3 IPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
708
950.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2877
49.6 IPS |
|
|
Machine Translation (Q)
|
58% |
642
15.1 IPS |
