Micro-Star International Co., Ltd. MS-7D04
Geekbench AI Score
3257
Single Precision Score
1477
Half Precision Score
6650
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 07:36 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-7D04 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z590 ACE (MS-7D04) |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2412
448.5 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.4 IPS |
|
|
Image Classification (Q)
|
99% |
7197
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3059
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5184
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4245
4.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
21275
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (Q)
|
86% |
6922
556.3 IPS |
|
|
Face Detection (SP)
|
100% |
4533
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
8966
106.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6557
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2113
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15423
123.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12728
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10378
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21919
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2309
85.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2088
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4078
151.0 IPS |
|
|
Text Classification (SP)
|
100% |
1679
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1583
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2668
53.6 IPS |
