System manufacturer System Product Name
Geekbench AI Score
2167
Single Precision Score
2234
Half Precision Score
1762
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 11:54 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% |
1561
290.4 IPS |
|
|
Image Classification (HP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (Q)
|
99% |
1176
219.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2628
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1258
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3223
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
4288
5.02 IPS |
|
|
Object Detection (SP)
|
100% |
1710
135.6 IPS |
|
|
Object Detection (HP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (Q)
|
85% |
1422
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
2623
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2470
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2399
18.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2191
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3146
4.04 IPS |
|
|
Style Transfer (HP)
|
100% |
3185
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
6652
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1830
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
1128
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
737
990.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2418
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2993
51.6 IPS |
|
|
Machine Translation (Q)
|
58% |
623
14.6 IPS |
