Micro-Star International Co., Ltd. MS-7D07
Geekbench AI Score
3203
Single Precision Score
1475
Half Precision Score
7423
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 15 2026 05:01 PM |
| Views | 5 |
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-7D07 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z590 GAMING PLUS (MS-7D07) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2067
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (Q)
|
99% |
7407
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8798
143.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5506
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4456
5.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
21829
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (Q)
|
86% |
6930
556.9 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
8797
104.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8007
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2142
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14687
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13433
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10821
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16243
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2219
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6435
238.3 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1578
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1664
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2418
48.6 IPS |
