System manufacturer System Product Name
Geekbench ML Score
2522
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 21 2024 10:54 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800XT |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1449
271.1 IPS |
|
|
Image Classification (F16)
|
100% |
1460
273.2 IPS |
|
|
Image Classification (I8)
|
97% |
2239
418.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
887
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
928
15.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
1563
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6601
7.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
6600
7.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
6674
8.08 IPS |
|
|
Object Detection (F32)
|
100% |
1445
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
1431
106.8 IPS |
|
|
Object Detection (I8)
|
60% |
1230
91.8 IPS |
|
|
Face Detection (F32)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (F16)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (I8)
|
87% |
3063
36.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5613
43.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6368
49.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
7004
54.3 IPS |
|
|
Style Transfer (F32)
|
100% |
14169
18.6 IPS |
|
|
Style Transfer (F16)
|
100% |
13793
18.1 IPS |
|
|
Style Transfer (I8)
|
85% |
11660
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2063
73.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2320
82.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2032
72.6 IPS |
|
|
Text Classification (F32)
|
100% |
1280
1.84 KIPS |
|
|
Text Classification (F16)
|
100% |
1278
1.84 KIPS |
|
|
Text Classification (I8)
|
94% |
360
516.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1585
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1563
28.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2002
36.8 IPS |
