System manufacturer System Product Name
Geekbench AI Score
2277
Single Precision Score
2247
Half Precision Score
1793
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 15 2025 01:56 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% |
1556
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
1560
290.1 IPS |
|
|
Image Classification (Q)
|
99% |
1210
225.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1201
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3175
3.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
4345
5.09 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (Q)
|
85% |
1455
117.1 IPS |
|
|
Face Detection (SP)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
2729
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2510
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2465
19.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2205
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3355
4.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3395
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
6721
8.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1836
68.0 IPS |
|
|
Text Classification (SP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (Q)
|
58% |
673
15.8 IPS |
