Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
6097
Single Precision Score
6077
Half Precision Score
13405
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3703
688.7 IPS |
|
|
Image Classification (HP)
|
100% |
3706
689.2 IPS |
|
|
Image Classification (Q)
|
100% |
8201
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4747
77.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4755
77.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8704
141.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7007
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
7009
8.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
25610
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
3587
284.6 IPS |
|
|
Object Detection (HP)
|
100% |
3548
281.4 IPS |
|
|
Object Detection (Q)
|
88% |
8788
704.5 IPS |
|
|
Face Detection (SP)
|
100% |
10368
123.2 IPS |
|
|
Face Detection (HP)
|
100% |
10372
123.2 IPS |
|
|
Face Detection (Q)
|
100% |
20204
240.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9159
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9127
70.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
22614
175.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20908
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20921
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
70290
90.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4440
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4424
163.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13314
493.1 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (Q)
|
92% |
5251
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5339
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5264
90.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5195
89.5 IPS |
