Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5641
Single Precision Score
1699
Half Precision Score
8526
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | June 30 2025 10:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE MAX (MS-7D86) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4472
831.6 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (Q)
|
99% |
7791
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4321
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11441
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4948
5.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
32193
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4224
335.0 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
7807
627.4 IPS |
|
|
Face Detection (SP)
|
100% |
11862
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
1758
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
12702
151.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12553
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2218
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18254
145.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24540
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12586
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31128
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2345
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5218
193.2 IPS |
|
|
Text Classification (SP)
|
100% |
1804
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1637
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3894
78.2 IPS |
