인텔® 코어™ i9-13900K Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
4804
Single Precision Score
4785
Half Precision Score
10730
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | IMJI |
| Upload Date | November 29 2024 11:30 AM |
| Views | 11 |
| Notes | BGR_MAIN |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2716
505.1 IPS |
|
|
Image Classification (HP)
|
100% |
2566
477.2 IPS |
|
|
Image Classification (Q)
|
100% |
6665
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4219
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6832
110.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8933
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9059
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
24026
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.4 IPS |
|
|
Object Detection (HP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (Q)
|
88% |
7300
585.2 IPS |
|
|
Face Detection (SP)
|
100% |
8940
106.2 IPS |
|
|
Face Detection (HP)
|
100% |
9389
111.6 IPS |
|
|
Face Detection (Q)
|
100% |
17320
205.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8763
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8947
68.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
19855
154.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26450
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26498
34.1 IPS |
|
|
Style Transfer (Q)
|
98% |
68531
88.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4613
170.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12476
462.0 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (Q)
|
92% |
4033
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2211
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2137
36.8 IPS |
