System manufacturer System Product Name
Geekbench AI Score
2324
Single Precision Score
2289
Half Precision Score
1822
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 21 2025 09:40 PM |
| Views | 8 |
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% |
1563
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
1591
295.9 IPS |
|
|
Image Classification (Q)
|
99% |
1230
229.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1296
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3328
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3323
3.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
4413
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (Q)
|
85% |
1473
118.5 IPS |
|
|
Face Detection (SP)
|
100% |
2755
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2758
32.8 IPS |
|
|
Face Detection (Q)
|
97% |
2860
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2573
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2613
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2228
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3347
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3344
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6664
8.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1759
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1885
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1356
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (Q)
|
58% |
651
15.3 IPS |
