PowerSpec - G478 Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
6221
Single Precision Score
6350
Half Precision Score
15096
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | May 23 2025 01:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4004
744.6 IPS |
|
|
Image Classification (HP)
|
100% |
3998
743.5 IPS |
|
|
Image Classification (Q)
|
100% |
10363
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4652
75.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4816
78.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5957
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9176
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9046
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
35290
41.3 IPS |
|
|
Object Detection (SP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (HP)
|
100% |
3453
273.9 IPS |
|
|
Object Detection (Q)
|
88% |
11274
903.8 IPS |
|
|
Face Detection (SP)
|
100% |
11431
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
11451
136.1 IPS |
|
|
Face Detection (Q)
|
100% |
26818
318.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10101
77.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10052
77.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
29814
231.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28934
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28956
37.2 IPS |
|
|
Style Transfer (Q)
|
98% |
96585
124.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18439
682.9 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (Q)
|
92% |
5760
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3272
56.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3053
52.6 IPS |
