Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5369
Single Precision Score
5401
Half Precision Score
16001
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | March 05 2025 03:41 AM |
| Views | 2 |
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 | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3624
674.0 IPS |
|
|
Image Classification (HP)
|
100% |
3699
687.9 IPS |
|
|
Image Classification (Q)
|
100% |
9656
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4341
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4342
70.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8389
136.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8878
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8877
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
34215
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
3121
247.6 IPS |
|
|
Object Detection (HP)
|
100% |
3183
252.5 IPS |
|
|
Object Detection (Q)
|
88% |
10384
832.4 IPS |
|
|
Face Detection (SP)
|
100% |
10480
124.5 IPS |
|
|
Face Detection (HP)
|
100% |
10541
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
26379
313.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9248
71.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
9135
70.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
29078
230.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23613
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26325
33.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96886
124.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4627
170.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17302
640.7 IPS |
|
|
Text Classification (SP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
4805
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2784
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (Q)
|
85% |
6191
108.3 IPS |
