Micro-Star International Co., Ltd. MS-7D15
Geekbench AI Score
2643
Single Precision Score
1258
Half Precision Score
4691
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 10:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D15 |
| Motherboard | Micro-Star International Co., Ltd. MAG B560 TOMAHAWK WIFI (MS-7D15) |
| Power Plan | Nihai Performans |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (Q)
|
99% |
5756
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2166
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4009
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3465
4.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
16906
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (HP)
|
100% |
563
44.7 IPS |
|
|
Object Detection (Q)
|
86% |
4306
346.0 IPS |
|
|
Face Detection (SP)
|
100% |
3824
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
7364
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5094
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1802
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13079
104.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9709
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8416
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18361
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1632
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3584
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
726
969.4 IPS |
|
|
Text Classification (Q)
|
97% |
428
572.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2097
42.1 IPS |
