System manufacturer System Product Name
Geekbench AI Score
2298
Single Precision Score
2300
Half Precision Score
1801
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 10:01 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% |
1620
301.3 IPS |
|
|
Image Classification (HP)
|
100% |
1585
294.7 IPS |
|
|
Image Classification (Q)
|
99% |
1224
228.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1237
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3301
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3312
3.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
4416
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
100% |
1772
140.6 IPS |
|
|
Object Detection (Q)
|
85% |
1465
117.9 IPS |
|
|
Face Detection (SP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (Q)
|
97% |
2835
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2621
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2612
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2236
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3341
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3328
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
6726
8.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1854
68.7 IPS |
|
|
Text Classification (SP)
|
100% |
1480
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
739
992.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (Q)
|
58% |
628
14.7 IPS |
