Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5805
Single Precision Score
1691
Half Precision Score
9018
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 09:27 AM |
| Views | 7 |
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-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4671
868.6 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.2 IPS |
|
|
Image Classification (Q)
|
99% |
7461
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4541
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11606
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4883
5.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
38063
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
4336
343.9 IPS |
|
|
Object Detection (HP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (Q)
|
86% |
8162
655.9 IPS |
|
|
Face Detection (SP)
|
100% |
12106
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
1818
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
12363
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13526
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2180
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
20052
160.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26354
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12192
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32216
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3947
145.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6076
225.0 IPS |
|
|
Text Classification (SP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
705
940.8 IPS |
|
|
Text Classification (Q)
|
97% |
1777
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3920
78.8 IPS |
