System manufacturer System Product Name
Geekbench AI Score
2320
Single Precision Score
2294
Half Precision Score
1805
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 21 2025 10:27 PM |
| Views | 10 |
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% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
1625
302.2 IPS |
|
|
Image Classification (Q)
|
99% |
1255
234.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2665
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1218
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3315
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3310
3.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
4431
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
100% |
1682
133.5 IPS |
|
|
Object Detection (Q)
|
85% |
1475
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
2764
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (Q)
|
97% |
2810
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2633
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2559
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2224
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3320
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3328
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
6742
8.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1894
70.2 IPS |
|
|
Text Classification (SP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
712
955.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3216
55.4 IPS |
|
|
Machine Translation (Q)
|
58% |
647
15.2 IPS |
