System manufacturer System Product Name
Geekbench AI Score
2364
Single Precision Score
2346
Half Precision Score
1812
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 16 2025 09:43 PM |
| Views | 2 |
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% |
1569
291.9 IPS |
|
|
Image Classification (HP)
|
100% |
1584
294.5 IPS |
|
|
Image Classification (Q)
|
99% |
1243
231.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1265
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3352
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3338
3.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
4423
5.18 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (Q)
|
85% |
1481
119.2 IPS |
|
|
Face Detection (SP)
|
100% |
2790
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2764
32.8 IPS |
|
|
Face Detection (Q)
|
97% |
2793
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2591
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2610
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2229
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3363
4.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3369
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6539
8.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1840
68.2 IPS |
|
|
Text Classification (SP)
|
100% |
1529
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (Q)
|
58% |
667
15.7 IPS |
