Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
5828
Single Precision Score
1206
Half Precision Score
6244
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | October 18 2024 04:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3247
603.9 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.2 IPS |
|
|
Image Classification (Q)
|
99% |
5465
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
4498
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15533
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8078
9.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
50796
59.5 IPS |
|
|
Object Detection (SP)
|
100% |
3700
293.5 IPS |
|
|
Object Detection (HP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
88% |
3234
259.2 IPS |
|
|
Face Detection (SP)
|
100% |
5443
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
416
4.94 IPS |
|
|
Face Detection (Q)
|
97% |
5246
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13410
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1449
11.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
12049
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35877
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20789
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26186
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5642
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3229
119.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6904
255.6 IPS |
|
|
Text Classification (SP)
|
100% |
2002
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
658
880.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2862
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2968
66.2 IPS |
