System manufacturer System Product Name
Geekbench AI Score
4192
Single Precision Score
1086
Half Precision Score
6784
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | bet2600 |
| Upload Date | December 22 2025 12:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| 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% |
2075
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
94% |
6426
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
2783
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7637
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
8265
9.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
23916
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2564
203.4 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
58% |
4640
507.0 IPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
459
5.45 IPS |
|
|
Face Detection (Q)
|
96% |
13983
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9160
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1362
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16762
133.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26828
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21573
27.7 IPS |
|
|
Style Transfer (Q)
|
87% |
20789
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3409
125.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2119
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3161
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
618
824.3 IPS |
|
|
Text Classification (Q)
|
97% |
1562
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
68% |
4329
83.6 IPS |
