Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5912
Single Precision Score
1982
Half Precision Score
10024
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| User | Andishack |
| Upload Date | December 26 2025 10:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4757
884.7 IPS |
|
|
Image Classification (HP)
|
100% |
744
138.4 IPS |
|
|
Image Classification (Q)
|
99% |
7785
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13677
222.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11159
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5200
6.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
34990
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
4574
362.8 IPS |
|
|
Object Detection (HP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (Q)
|
86% |
7966
640.2 IPS |
|
|
Face Detection (SP)
|
100% |
14214
168.9 IPS |
|
|
Face Detection (HP)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
12768
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13407
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2669
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19991
159.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25336
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13072
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30890
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2399
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6792
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1724
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3740
75.2 IPS |
