Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
4696
Single Precision Score
878
Half Precision Score
5733
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | March 05 2025 03:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2503
465.6 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (Q)
|
99% |
4522
843.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
3564
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11445
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4840
5.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
36248
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
3039
241.0 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
88% |
2625
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
5396
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (Q)
|
97% |
5955
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11214
86.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1024
7.89 IPS |
|
|
Depth Estimation (Q)
|
76% |
12699
102.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26794
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11835
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30422
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3966
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2187
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5780
214.0 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
723
965.6 IPS |
|
|
Text Classification (Q)
|
97% |
659
881.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2856
63.7 IPS |
