Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
5142
Single Precision Score
5148
Half Precision Score
11902
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | FastEddy |
| Upload Date | September 04 2024 02:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760-P WIFI (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3313
616.2 IPS |
|
|
Image Classification (HP)
|
100% |
3113
579.0 IPS |
|
|
Image Classification (Q)
|
100% |
7413
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3904
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3816
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5395
87.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
6322
7.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
23341
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
3071
243.6 IPS |
|
|
Object Detection (HP)
|
100% |
3113
246.9 IPS |
|
|
Object Detection (Q)
|
88% |
7568
606.6 IPS |
|
|
Face Detection (SP)
|
100% |
8931
106.1 IPS |
|
|
Face Detection (HP)
|
100% |
9120
108.4 IPS |
|
|
Face Detection (Q)
|
100% |
18532
220.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8219
63.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
8169
62.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
19822
157.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19221
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19128
24.6 IPS |
|
|
Style Transfer (Q)
|
98% |
65117
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12687
469.9 IPS |
|
|
Text Classification (SP)
|
100% |
2155
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2191
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4556
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4489
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4447
76.6 IPS |
|
|
Machine Translation (Q)
|
85% |
5844
102.2 IPS |
