Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5602
Single Precision Score
1678
Half Precision Score
8688
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 08:18 AM |
| Views | 4 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4758
884.8 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.4 IPS |
|
|
Image Classification (Q)
|
99% |
7061
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4319
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11253
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4829
5.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
36553
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
4244
336.7 IPS |
|
|
Object Detection (HP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (Q)
|
86% |
8135
653.8 IPS |
|
|
Face Detection (SP)
|
100% |
12193
144.9 IPS |
|
|
Face Detection (HP)
|
100% |
1970
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
11486
136.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13273
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2136
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19422
155.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25730
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11973
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30205
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5891
218.1 IPS |
|
|
Text Classification (SP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
703
939.0 IPS |
|
|
Text Classification (Q)
|
97% |
1757
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2239
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3878
77.9 IPS |
