System manufacturer System Product Name
Geekbench AI Score
4144
Single Precision Score
1036
Half Precision Score
6797
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | bet2600 |
| Upload Date | July 24 2025 01:06 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 | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1918
356.6 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
94% |
6297
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
3029
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12356
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7337
8.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
23625
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (Q)
|
58% |
5201
568.2 IPS |
|
|
Face Detection (SP)
|
100% |
3463
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (Q)
|
96% |
12704
151.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8607
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1307
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16379
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25134
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19674
25.3 IPS |
|
|
Style Transfer (Q)
|
87% |
20605
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3164
116.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4149
153.7 IPS |
|
|
Text Classification (SP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
594
793.3 IPS |
|
|
Text Classification (Q)
|
97% |
1225
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3004
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
4122
79.6 IPS |
