System manufacturer System Product Name
Geekbench AI Score
2263
Single Precision Score
2243
Half Precision Score
1755
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 18 2025 12:40 AM |
| Views | 13 |
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% |
1517
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
1536
285.7 IPS |
|
|
Image Classification (Q)
|
99% |
1189
221.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2590
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1135
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3217
3.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
4386
5.14 IPS |
|
|
Object Detection (SP)
|
100% |
1632
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
1637
129.8 IPS |
|
|
Object Detection (Q)
|
85% |
1434
115.4 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
2682
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2516
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2511
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2169
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3233
4.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3240
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
6509
8.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1852
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
734
985.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (Q)
|
58% |
638
15.0 IPS |
