Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
7622
Single Precision Score
7549
Half Precision Score
16273
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | November 13 2025 01:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4843
900.7 IPS |
|
|
Image Classification (HP)
|
100% |
4778
888.5 IPS |
|
|
Image Classification (Q)
|
100% |
10184
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6258
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6292
102.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11632
188.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9306
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9273
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
33835
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
4546
360.6 IPS |
|
|
Object Detection (HP)
|
100% |
4509
357.7 IPS |
|
|
Object Detection (Q)
|
88% |
10842
869.1 IPS |
|
|
Face Detection (SP)
|
100% |
13417
159.4 IPS |
|
|
Face Detection (HP)
|
100% |
10581
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
18913
224.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11693
90.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11801
90.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
29459
229.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28001
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27073
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
91684
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4818
177.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17539
649.5 IPS |
|
|
Text Classification (SP)
|
100% |
4170
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
92% |
5761
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5849
100.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5793
99.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5808
100.1 IPS |
