Gigabyte Technology Co., Ltd. X399 AORUS Gaming 7
Geekbench ML Score
1431
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 11:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X399 AORUS Gaming 7 |
| Motherboard | Gigabyte Technology Co., Ltd. X399 AORUS Gaming 7 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 1950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 8.00 MB x 4 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
593
111.0 IPS |
|
|
Image Classification (F16)
|
100% |
639
119.7 IPS |
|
|
Image Classification (I8)
|
97% |
972
182.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
504
8.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
511
8.53 IPS |
|
|
Image Segmentation (I8)
|
97% |
1162
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4961
6.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
3961
4.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
4570
5.53 IPS |
|
|
Object Detection (F32)
|
100% |
669
49.9 IPS |
|
|
Object Detection (F16)
|
100% |
695
51.9 IPS |
|
|
Object Detection (I8)
|
60% |
592
44.2 IPS |
|
|
Face Detection (F32)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (F16)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (I8)
|
87% |
2041
24.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3970
30.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3548
27.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
4589
35.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8657
11.4 IPS |
|
|
Style Transfer (F16)
|
100% |
9712
12.8 IPS |
|
|
Style Transfer (I8)
|
85% |
10232
13.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1168
41.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1452
51.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1230
43.9 IPS |
|
|
Text Classification (F32)
|
100% |
509
731.6 IPS |
|
|
Text Classification (F16)
|
100% |
500
718.9 IPS |
|
|
Text Classification (I8)
|
94% |
179
257.7 IPS |
|
|
Machine Translation (F32)
|
100% |
764
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
785
14.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1060
19.5 IPS |
