Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
26649
Single Precision Score
39771
Half Precision Score
15872
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 09:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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% |
10248
1.91 KIPS |
|
|
Image Classification (HP)
|
99% |
14321
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
6774
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19061
309.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27515
446.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13206
214.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
171691
200.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
361118
421.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
128031
150.0 IPS |
|
|
Object Detection (SP)
|
100% |
12912
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
18743
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
8949
719.9 IPS |
|
|
Face Detection (SP)
|
100% |
36529
434.0 IPS |
|
|
Face Detection (HP)
|
100% |
51964
617.4 IPS |
|
|
Face Detection (Q)
|
97% |
23402
279.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
65869
507.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97529
751.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
38554
308.8 IPS |
|
|
Style Transfer (SP)
|
100% |
281507
361.9 IPS |
|
|
Style Transfer (HP)
|
100% |
665724
855.8 IPS |
|
|
Style Transfer (Q)
|
98% |
200293
258.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41212
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57400
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22568
835.7 IPS |
|
|
Text Classification (SP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4869
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1610
30.2 IPS |
