Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
6710
Single Precision Score
6733
Half Precision Score
17842
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | s-goude-surgar |
| Upload Date | October 20 2025 10:18 AM |
| Views | 5 |
| Notes | OpenVino CPU |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4000
743.8 IPS |
|
|
Image Classification (HP)
|
100% |
4127
767.5 IPS |
|
|
Image Classification (Q)
|
100% |
11146
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5682
92.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5583
90.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12368
200.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7861
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
7758
9.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
34184
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
3855
305.8 IPS |
|
|
Object Detection (HP)
|
100% |
3871
307.0 IPS |
|
|
Object Detection (Q)
|
88% |
11909
954.6 IPS |
|
|
Face Detection (SP)
|
100% |
12767
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
13005
154.5 IPS |
|
|
Face Detection (Q)
|
100% |
26928
320.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9942
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9993
77.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
31373
244.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22527
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21958
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
97969
126.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5066
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19031
704.8 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6425
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5838
100.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5798
99.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5758
99.2 IPS |
