System manufacturer System Product Name
Geekbench AI Score
2242
Single Precision Score
2273
Half Precision Score
1785
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 11:38 PM |
| 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% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
1590
295.8 IPS |
|
|
Image Classification (Q)
|
99% |
1203
224.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1249
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3214
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3199
3.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
4310
5.05 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.6 IPS |
|
|
Object Detection (HP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (Q)
|
85% |
1439
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
2664
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2714
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2567
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2542
19.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2246
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3255
4.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3237
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
6557
8.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1864
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
1317
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1348
1.80 KIPS |
|
|
Text Classification (Q)
|
92% |
738
991.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2851
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (Q)
|
58% |
642
15.1 IPS |
