System manufacturer System Product Name
Geekbench AI Score
4239
Single Precision Score
1096
Half Precision Score
5271
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | bet2600 |
| Upload Date | September 12 2024 03:51 AM |
| Views | 12 |
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 | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
93% |
4043
756.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
2965
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12921
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8346
9.74 IPS |
|
|
Pose Estimation (Q)
|
87% |
23878
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
86% |
2376
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (Q)
|
96% |
5515
65.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9317
71.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1395
10.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
8573
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26901
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21559
27.7 IPS |
|
|
Style Transfer (Q)
|
87% |
21059
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3397
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4370
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
1947
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
612
816.5 IPS |
|
|
Text Classification (Q)
|
97% |
1569
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3572
79.7 IPS |
