Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
9195
Single Precision Score
9220
Half Precision Score
13186
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | October 18 2024 07:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 CARBON WIFI (MS-7E17) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6749
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6684
1.24 KIPS |
|
|
Image Classification (Q)
|
56% |
6208
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3666
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33924
39.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34114
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
73357
85.9 IPS |
|
|
Object Detection (SP)
|
98% |
5612
446.6 IPS |
|
|
Object Detection (HP)
|
100% |
5663
449.2 IPS |
|
|
Object Detection (Q)
|
87% |
9185
737.2 IPS |
|
|
Face Detection (SP)
|
100% |
14975
177.9 IPS |
|
|
Face Detection (HP)
|
100% |
15049
178.8 IPS |
|
|
Face Detection (Q)
|
100% |
24267
288.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
16811
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16879
130.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
31402
248.8 IPS |
|
|
Style Transfer (SP)
|
100% |
49407
63.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49454
63.6 IPS |
|
|
Style Transfer (Q)
|
98% |
91670
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13679
505.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13666
504.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22294
825.6 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2270
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3163
54.5 IPS |
|
|
Machine Translation (Q)
|
90% |
2932
50.9 IPS |
