Micro-Star International Co., Ltd. MS-7D98
Geekbench ML Score
2991
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 07:00 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | MSI PRO B760-VC WIFI 7 BULK (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1607
300.7 IPS |
|
|
Image Classification (F16)
|
100% |
1635
306.0 IPS |
|
|
Image Classification (I8)
|
99% |
2855
534.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1309
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1366
22.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2135
35.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4771
5.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
4929
5.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
18071
21.9 IPS |
|
|
Object Detection (F32)
|
100% |
1610
120.2 IPS |
|
|
Object Detection (F16)
|
100% |
1544
115.3 IPS |
|
|
Object Detection (I8)
|
62% |
1520
113.5 IPS |
|
|
Face Detection (F32)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (F16)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (I8)
|
89% |
3726
44.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5811
45.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5893
45.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
12080
93.7 IPS |
|
|
Style Transfer (F32)
|
100% |
11866
15.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11907
15.7 IPS |
|
|
Style Transfer (I8)
|
98% |
19600
25.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2503
89.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2448
87.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3824
136.6 IPS |
|
|
Text Classification (F32)
|
100% |
1347
1.94 KIPS |
|
|
Text Classification (F16)
|
100% |
1352
1.94 KIPS |
|
|
Text Classification (I8)
|
98% |
391
562.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1587
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1614
29.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2304
42.4 IPS |
