Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
3168
Single Precision Score
1174
Half Precision Score
3820
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Havok970 |
| Upload Date | September 29 2024 11:32 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D27 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 ACE (MS-7D27) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1544
287.2 IPS |
|
|
Image Classification (HP)
|
100% |
419
77.9 IPS |
|
|
Image Classification (Q)
|
99% |
3161
589.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2616
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7410
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3356
3.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
23064
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
2051
162.7 IPS |
|
|
Object Detection (HP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (Q)
|
88% |
1744
139.8 IPS |
|
|
Face Detection (SP)
|
100% |
4068
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
4015
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7302
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7985
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17510
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8810
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22346
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2557
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3770
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
466
622.4 IPS |
|
|
Text Classification (Q)
|
97% |
409
548.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.55 IPS |
|
|
Machine Translation (Q)
|
60% |
1801
40.2 IPS |
