System manufacturer System Product Name
Geekbench AI Score
2323
Single Precision Score
2337
Half Precision Score
1792
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 12:18 AM |
| Views | 1 |
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% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.1 IPS |
|
|
Image Classification (Q)
|
99% |
1235
230.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1214
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3290
3.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
4388
5.14 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (HP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (Q)
|
85% |
1463
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
2700
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2575
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2558
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2245
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3349
4.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3334
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
6668
8.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1887
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
723
971.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3267
56.3 IPS |
|
|
Machine Translation (Q)
|
58% |
646
15.2 IPS |
