Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
5260
Single Precision Score
1682
Half Precision Score
8361
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 09:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4244
789.2 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.0 IPS |
|
|
Image Classification (Q)
|
99% |
7214
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4237
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10228
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4745
5.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
33106
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
4029
319.6 IPS |
|
|
Object Detection (HP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (Q)
|
86% |
7472
600.5 IPS |
|
|
Face Detection (SP)
|
100% |
10743
127.7 IPS |
|
|
Face Detection (HP)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
11400
135.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12321
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2284
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19011
151.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23063
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11496
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26347
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5468
202.5 IPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1897
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3728
74.9 IPS |
