PowerSpec - G478 Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5419
Single Precision Score
5485
Half Precision Score
16426
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | May 23 2025 01:10 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% |
4035
750.4 IPS |
|
|
Image Classification (HP)
|
100% |
3914
727.8 IPS |
|
|
Image Classification (Q)
|
100% |
9805
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4143
67.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4252
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9352
151.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8429
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
34765
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3173
251.7 IPS |
|
|
Object Detection (HP)
|
100% |
3164
251.0 IPS |
|
|
Object Detection (Q)
|
88% |
10663
854.8 IPS |
|
|
Face Detection (SP)
|
100% |
10422
123.8 IPS |
|
|
Face Detection (HP)
|
100% |
10220
121.4 IPS |
|
|
Face Detection (Q)
|
100% |
26769
318.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9547
73.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
9544
73.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
29974
237.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24957
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24837
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96272
124.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4258
157.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4286
158.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18157
672.4 IPS |
|
|
Text Classification (SP)
|
100% |
1611
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1836
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
4816
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2872
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (Q)
|
85% |
6228
109.0 IPS |
