Micro-Star International Co., Ltd. MS-7D75
Geekbench ML Score
15446
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 25 2024 11:40 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10443
1.95 KIPS |
|
|
Image Classification (F16)
|
100% |
10369
1.94 KIPS |
|
|
Image Classification (I8)
|
100% |
8315
1.56 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10388
173.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
10323
172.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
9874
164.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
162047
196.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
159580
193.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
133126
161.2 IPS |
|
|
Object Detection (F32)
|
100% |
2764
206.4 IPS |
|
|
Object Detection (F16)
|
100% |
4539
338.9 IPS |
|
|
Object Detection (I8)
|
56% |
4574
341.5 IPS |
|
|
Face Detection (F32)
|
100% |
28588
339.9 IPS |
|
|
Face Detection (F16)
|
100% |
28628
340.4 IPS |
|
|
Face Detection (I8)
|
89% |
23651
281.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
42825
332.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
41777
324.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
24439
189.5 IPS |
|
|
Style Transfer (F32)
|
100% |
115462
151.9 IPS |
|
|
Style Transfer (F16)
|
100% |
120526
158.5 IPS |
|
|
Style Transfer (I8)
|
98% |
112281
147.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10161
362.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10138
362.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8250
294.6 IPS |
|
|
Text Classification (F32)
|
100% |
3644
5.24 KIPS |
|
|
Text Classification (F16)
|
100% |
3649
5.24 KIPS |
|
|
Text Classification (I8)
|
98% |
2341
3.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
4885
89.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4881
89.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2944
54.2 IPS |
