Micro-Star International Co., Ltd. MS-7D30
Geekbench ML Score
4369
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 06:45 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D30 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 FORCE WIFI (MS-7D30) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700E |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 25.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A380E Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
0% |
2890
540.8 IPS |
|
|
Image Classification (F16)
|
0% |
2774
519.2 IPS |
|
|
Image Classification (I8)
|
0% |
2336
437.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2651
44.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2601
43.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1827
30.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
18499
22.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
18318
22.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14991
18.2 IPS |
|
|
Object Detection (F32)
|
0% |
2600
194.1 IPS |
|
|
Object Detection (F16)
|
0% |
2572
192.0 IPS |
|
|
Object Detection (I8)
|
0% |
2199
164.2 IPS |
|
|
Face Detection (F32)
|
100% |
5248
62.4 IPS |
|
|
Face Detection (F16)
|
100% |
4429
52.7 IPS |
|
|
Face Detection (I8)
|
88% |
3162
37.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12886
99.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
12257
95.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
9813
76.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39733
52.3 IPS |
|
|
Style Transfer (F16)
|
100% |
39714
52.2 IPS |
|
|
Style Transfer (I8)
|
98% |
29921
39.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7708
275.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7741
276.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5206
185.9 IPS |
|
|
Text Classification (F32)
|
90% |
770
1.11 KIPS |
|
|
Text Classification (F16)
|
90% |
782
1.12 KIPS |
|
|
Text Classification (I8)
|
90% |
568
816.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1497
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1493
27.5 IPS |
|
|
Machine Translation (I8)
|
70% |
727
13.4 IPS |
