Micro-Star International Co., Ltd. MS-7E03
Geekbench AI Score
5874
Single Precision Score
5877
Half Precision Score
12356
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 08:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E03 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790I EDGE WIFI (MS-7E03) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3644
677.7 IPS |
|
|
Image Classification (HP)
|
100% |
3672
683.0 IPS |
|
|
Image Classification (Q)
|
100% |
7836
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4434
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5110
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6861
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6826
7.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
24617
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3443
273.1 IPS |
|
|
Object Detection (HP)
|
100% |
3360
266.5 IPS |
|
|
Object Detection (Q)
|
88% |
8337
668.3 IPS |
|
|
Face Detection (SP)
|
100% |
10097
120.0 IPS |
|
|
Face Detection (HP)
|
100% |
9997
118.8 IPS |
|
|
Face Detection (Q)
|
100% |
20062
238.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9185
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9183
70.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
22258
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20422
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20681
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
69755
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4418
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4359
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13692
507.1 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (Q)
|
92% |
5124
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4842
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4846
83.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4622
79.6 IPS |
