Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5415
Single Precision Score
5423
Half Precision Score
14325
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | February 13 2025 12:55 AM |
| Views | 8 |
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% |
3597
669.0 IPS |
|
|
Image Classification (HP)
|
100% |
3581
666.0 IPS |
|
|
Image Classification (Q)
|
100% |
9401
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4393
71.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4394
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9489
153.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8678
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8745
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
35017
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
3190
253.0 IPS |
|
|
Object Detection (HP)
|
100% |
3185
252.6 IPS |
|
|
Object Detection (Q)
|
88% |
9984
800.3 IPS |
|
|
Face Detection (SP)
|
100% |
10446
124.1 IPS |
|
|
Face Detection (HP)
|
100% |
10162
120.7 IPS |
|
|
Face Detection (Q)
|
100% |
16815
199.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9101
70.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
9145
70.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
28634
226.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23986
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24818
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
53952
69.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4438
163.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4436
163.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17608
652.1 IPS |
|
|
Text Classification (SP)
|
100% |
1669
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
4183
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2976
51.3 IPS |
|
|
Machine Translation (Q)
|
85% |
6100
106.7 IPS |
