System manufacturer System Product Name
Geekbench AI Score
4279
Single Precision Score
1101
Half Precision Score
5299
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | bet2600 |
| Upload Date | September 13 2024 01:42 AM |
| Views | 2 |
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% |
1628
302.8 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
93% |
4072
761.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
3010
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13069
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8351
9.74 IPS |
|
|
Pose Estimation (Q)
|
87% |
24035
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
86% |
2367
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (Q)
|
96% |
5530
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9079
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1401
10.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
8641
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26895
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21754
28.0 IPS |
|
|
Style Transfer (Q)
|
87% |
21152
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2176
80.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4362
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
613
818.7 IPS |
|
|
Text Classification (Q)
|
97% |
1534
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3705
82.6 IPS |
