Micro-Star International Co., Ltd. MS-7E19
Geekbench AI Score
4691
Single Precision Score
10532
Half Precision Score
15235
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 09:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E19 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 EDGE TI WIFI (MS-7E19) |
| 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% |
3392
630.8 IPS |
|
|
Image Classification (HP)
|
100% |
7526
1.40 KIPS |
|
|
Image Classification (Q)
|
56% |
6847
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3203
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3079
49.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4045
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5395
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
37757
44.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
81660
95.7 IPS |
|
|
Object Detection (SP)
|
100% |
3114
247.0 IPS |
|
|
Object Detection (HP)
|
100% |
6203
492.0 IPS |
|
|
Object Detection (Q)
|
87% |
10187
817.6 IPS |
|
|
Face Detection (SP)
|
100% |
9737
115.7 IPS |
|
|
Face Detection (HP)
|
100% |
17626
209.4 IPS |
|
|
Face Detection (Q)
|
100% |
28216
335.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7955
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21340
164.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
38679
301.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17195
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
59408
76.4 IPS |
|
|
Style Transfer (Q)
|
98% |
107770
139.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15597
575.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27554
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2394
3.19 KIPS |
|
|
Text Classification (Q)
|
92% |
2419
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2624
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3731
64.3 IPS |
