Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
5502
Single Precision Score
5461
Half Precision Score
14580
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 03:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| 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 | 160.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3439
639.5 IPS |
|
|
Image Classification (HP)
|
100% |
3525
655.5 IPS |
|
|
Image Classification (Q)
|
100% |
9274
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4509
73.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4501
73.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10923
177.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8553
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
7367
8.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
31254
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.7 IPS |
|
|
Object Detection (HP)
|
100% |
2966
235.3 IPS |
|
|
Object Detection (Q)
|
88% |
10061
806.5 IPS |
|
|
Face Detection (SP)
|
100% |
9851
117.0 IPS |
|
|
Face Detection (HP)
|
100% |
9746
115.8 IPS |
|
|
Face Detection (Q)
|
100% |
23541
279.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8768
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8506
65.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
26900
209.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22803
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23332
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
87673
113.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4270
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16437
608.7 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
4921
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2999
51.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3036
52.3 IPS |
