System manufacturer System Product Name
Geekbench AI Score
2288
Single Precision Score
2273
Half Precision Score
1787
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 01:35 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% |
1553
288.8 IPS |
|
|
Image Classification (HP)
|
100% |
1531
284.7 IPS |
|
|
Image Classification (Q)
|
99% |
1222
227.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2636
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2633
42.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1212
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3201
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3223
3.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
4447
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (Q)
|
85% |
1470
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
2712
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2520
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2602
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2248
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3218
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3247
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
6626
8.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1767
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1877
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
706
948.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3053
52.6 IPS |
|
|
Machine Translation (Q)
|
58% |
643
15.1 IPS |
