Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
5924
Single Precision Score
1785
Half Precision Score
9885
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 11:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4953
921.1 IPS |
|
|
Image Classification (HP)
|
100% |
598
111.2 IPS |
|
|
Image Classification (Q)
|
99% |
7584
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13339
216.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11418
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4944
5.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
34796
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
4617
366.2 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.1 IPS |
|
|
Object Detection (Q)
|
86% |
8259
663.8 IPS |
|
|
Face Detection (SP)
|
100% |
14149
168.1 IPS |
|
|
Face Detection (HP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
12776
152.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13312
102.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2417
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19430
155.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26158
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11827
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29730
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4015
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2195
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6769
250.7 IPS |
|
|
Text Classification (SP)
|
100% |
1826
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
835
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1568
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2377
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3915
78.7 IPS |
