Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
25325
Single Precision Score
38063
Half Precision Score
15010
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 09:36 PM |
| Views | 2 |
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% |
9721
1.81 KIPS |
|
|
Image Classification (HP)
|
99% |
13568
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
6355
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18378
297.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
26259
425.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12516
203.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
168374
196.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
332511
388.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
125705
147.3 IPS |
|
|
Object Detection (SP)
|
100% |
12301
975.7 IPS |
|
|
Object Detection (HP)
|
100% |
17787
1.41 KIPS |
|
|
Object Detection (Q)
|
85% |
8166
656.9 IPS |
|
|
Face Detection (SP)
|
100% |
35251
418.9 IPS |
|
|
Face Detection (HP)
|
100% |
50636
601.7 IPS |
|
|
Face Detection (Q)
|
97% |
22327
266.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
61888
476.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
102594
790.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
35953
287.9 IPS |
|
|
Style Transfer (SP)
|
100% |
266462
342.5 IPS |
|
|
Style Transfer (HP)
|
100% |
632819
813.5 IPS |
|
|
Style Transfer (Q)
|
98% |
190881
246.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37150
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53048
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21384
791.8 IPS |
|
|
Text Classification (SP)
|
100% |
2864
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3687
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
1416
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4743
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4712
81.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1533
28.7 IPS |
