Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
41324
Single Precision Score
59180
Half Precision Score
31033
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 06:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A WIFI (MS-7E07) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16261
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
20604
3.83 KIPS |
|
|
Image Classification (Q)
|
100% |
14057
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23537
381.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
27153
440.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21928
356.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
370858
432.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
822642
959.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
296206
347.0 IPS |
|
|
Object Detection (SP)
|
100% |
21002
1.67 KIPS |
|
|
Object Detection (HP)
|
100% |
26058
2.07 KIPS |
|
|
Object Detection (Q)
|
85% |
17349
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
53029
630.1 IPS |
|
|
Face Detection (HP)
|
100% |
64620
767.8 IPS |
|
|
Face Detection (Q)
|
97% |
44321
528.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
103684
798.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
184054
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72925
584.1 IPS |
|
|
Style Transfer (SP)
|
100% |
570981
734.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1510747
1.94 KIPS |
|
|
Style Transfer (Q)
|
98% |
484843
625.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72051
2.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93313
3.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50798
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
4227
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5156
6.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2504
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5095
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5083
87.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2624
49.2 IPS |
