Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
5831
Single Precision Score
1782
Half Precision Score
9929
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | defogger |
| Upload Date | October 30 2025 02:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4986
927.2 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.4 IPS |
|
|
Image Classification (Q)
|
99% |
7385
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13496
219.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11013
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5040
5.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
33720
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
4351
345.1 IPS |
|
|
Object Detection (HP)
|
100% |
834
66.2 IPS |
|
|
Object Detection (Q)
|
86% |
8396
674.8 IPS |
|
|
Face Detection (SP)
|
100% |
14161
168.3 IPS |
|
|
Face Detection (HP)
|
100% |
1880
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
12600
150.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13537
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2448
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20173
161.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26546
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12580
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31086
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4083
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2309
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6630
245.5 IPS |
|
|
Text Classification (SP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1600
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2395
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3940
79.2 IPS |
