Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
4607
Single Precision Score
1056
Half Precision Score
5575
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | October 18 2024 07:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| 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% |
2663
495.2 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.7 IPS |
|
|
Image Classification (Q)
|
99% |
5019
936.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
322
5.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
4079
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10302
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6851
7.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
34877
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
2798
221.9 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
88% |
2601
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
4310
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
97% |
4635
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10184
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1133
8.73 IPS |
|
|
Depth Estimation (Q)
|
76% |
10277
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22457
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16100
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24982
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4236
156.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2946
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5997
222.1 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
884
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
684
916.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2695
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3203
71.4 IPS |
