System manufacturer System Product Name
Geekbench AI Score
2299
Single Precision Score
2302
Half Precision Score
1805
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TyphooN |
| Upload Date | November 18 2025 01:27 AM |
| 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% |
1617
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.6 IPS |
|
|
Image Classification (Q)
|
99% |
1238
230.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1263
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3291
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3278
3.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
4312
5.05 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.6 IPS |
|
|
Object Detection (HP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (Q)
|
85% |
1484
119.4 IPS |
|
|
Face Detection (SP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
2855
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2569
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2562
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2218
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3290
4.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3283
4.22 IPS |
|
|
Style Transfer (Q)
|
98% |
6620
8.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1876
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
1563
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
735
987.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2937
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (Q)
|
58% |
635
14.9 IPS |
