Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench ML Score
5255
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2023 06:11 AM |
| Views | 469 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Insider Preview (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2284
427.5 IPS |
|
|
Image Classification (F16)
|
100% |
2661
498.0 IPS |
|
|
Image Classification (I8)
|
100% |
2218
415.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2843
47.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2807
46.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2347
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
35801
43.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
38404
46.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
27436
33.2 IPS |
|
|
Object Detection (F32)
|
100% |
2184
163.0 IPS |
|
|
Object Detection (F16)
|
100% |
2054
153.3 IPS |
|
|
Object Detection (I8)
|
62% |
1711
127.7 IPS |
|
|
Face Detection (F32)
|
100% |
5030
59.8 IPS |
|
|
Face Detection (F16)
|
100% |
5000
59.5 IPS |
|
|
Face Detection (I8)
|
89% |
3830
45.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
14933
115.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
15733
122.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
12210
94.7 IPS |
|
|
Style Transfer (F32)
|
100% |
30760
40.5 IPS |
|
|
Style Transfer (F16)
|
100% |
32015
42.1 IPS |
|
|
Style Transfer (I8)
|
98% |
26668
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5910
211.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5868
209.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4512
161.1 IPS |
|
|
Text Classification (F32)
|
100% |
1824
2.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1593
2.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1465
2.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
2672
49.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2612
48.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1680
30.9 IPS |
