IceCube 2.0 Micro-Star International Co., Ltd. MS-7D40
Geekbench AI Score
3756
Single Precision Score
1378
Half Precision Score
4494
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MaybeHS |
| Upload Date | November 10 2024 01:17 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D40 |
| Motherboard | Micro-Star International Co., Ltd. MPG B760I EDGE WIFI (MS-7D40) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2401
446.5 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.3 IPS |
|
|
Image Classification (Q)
|
99% |
4166
777.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3350
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7429
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3755
4.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
30337
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (Q)
|
88% |
1946
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
1471
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
3898
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8820
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1862
14.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
8519
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19029
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9676
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20925
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3275
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5070
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
604
806.4 IPS |
|
|
Text Classification (Q)
|
97% |
527
705.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2201
49.1 IPS |
