System manufacturer System Product Name
Geekbench AI Score
2293
Single Precision Score
2295
Half Precision Score
1803
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 13 2025 11:36 AM |
| Views | 4 |
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% |
1576
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (Q)
|
99% |
1229
229.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1271
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3332
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3316
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
4408
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (Q)
|
85% |
1469
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
2766
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2575
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2580
19.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2219
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3333
4.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3307
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
6661
8.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1713
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1830
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
1431
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
735
987.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2975
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (Q)
|
58% |
653
15.3 IPS |
