IceCube 2.0 Micro-Star International Co., Ltd. MS-7D40
Geekbench AI Score
3865
Single Precision Score
1411
Half Precision Score
4472
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MaybeHS |
| Upload Date | November 09 2024 06:04 PM |
| Views | 14 |
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% |
2465
458.4 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.8 IPS |
|
|
Image Classification (Q)
|
99% |
4156
775.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3383
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7397
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3837
4.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
29211
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
88% |
2091
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
3833
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9014
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1777
13.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
8760
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20194
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10160
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20961
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3519
129.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4736
175.4 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
696
929.0 IPS |
|
|
Text Classification (Q)
|
97% |
534
715.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2095
46.7 IPS |
