Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
4524
Single Precision Score
1650
Half Precision Score
7893
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 02:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI (MS-7D99) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3496
650.2 IPS |
|
|
Image Classification (HP)
|
100% |
579
107.6 IPS |
|
|
Image Classification (Q)
|
99% |
6872
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1100
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4067
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7401
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4439
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
25629
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
3250
257.8 IPS |
|
|
Object Detection (HP)
|
100% |
753
59.7 IPS |
|
|
Object Detection (Q)
|
86% |
7119
572.1 IPS |
|
|
Face Detection (SP)
|
100% |
9110
108.3 IPS |
|
|
Face Detection (HP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
11221
133.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9593
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2158
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16904
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17726
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10861
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25508
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3103
114.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5296
196.1 IPS |
|
|
Text Classification (SP)
|
100% |
1783
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1801
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3992
80.2 IPS |
