System manufacturer System Product Name
Geekbench AI Score
2316
Single Precision Score
2328
Half Precision Score
1811
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 12:34 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% |
1652
307.1 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.0 IPS |
|
|
Image Classification (Q)
|
99% |
1209
225.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2563
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1274
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3313
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3292
3.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
4425
5.18 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
100% |
1695
134.5 IPS |
|
|
Object Detection (Q)
|
85% |
1490
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2759
32.8 IPS |
|
|
Face Detection (Q)
|
97% |
2864
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2642
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2579
19.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2242
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3343
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3332
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
6548
8.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1756
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1888
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
754
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3051
52.6 IPS |
|
|
Machine Translation (Q)
|
58% |
625
14.7 IPS |
