System manufacturer System Product Name
Geekbench AI Score
2304
Single Precision Score
2296
Half Precision Score
1821
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 21 2025 11:45 PM |
| Views | 11 |
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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
1591
295.8 IPS |
|
|
Image Classification (Q)
|
99% |
1252
233.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2676
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1233
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3330
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3318
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
4433
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (HP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (Q)
|
85% |
1497
120.5 IPS |
|
|
Face Detection (SP)
|
100% |
2699
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
2858
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2580
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2575
19.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2225
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3341
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3319
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
6619
8.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1896
70.2 IPS |
|
|
Text Classification (SP)
|
100% |
1397
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (Q)
|
92% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3022
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3033
52.3 IPS |
|
|
Machine Translation (Q)
|
58% |
655
15.4 IPS |
