Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
4914
Single Precision Score
5174
Half Precision Score
11150
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 01:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. B760 GAMING PLUS WIFI (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3316
616.7 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.8 IPS |
|
|
Image Classification (Q)
|
100% |
7434
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3932
63.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5239
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6643
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
6641
7.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
14075
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
3171
251.5 IPS |
|
|
Object Detection (HP)
|
100% |
3214
254.9 IPS |
|
|
Object Detection (Q)
|
88% |
7765
622.5 IPS |
|
|
Face Detection (SP)
|
100% |
9162
108.9 IPS |
|
|
Face Detection (HP)
|
100% |
9357
111.2 IPS |
|
|
Face Detection (Q)
|
100% |
19116
227.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8353
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8572
66.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
20646
160.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19885
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19865
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
67076
86.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2507
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12859
476.2 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (Q)
|
92% |
4578
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4440
76.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4480
77.2 IPS |
