Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
29001
Single Precision Score
50066
Half Precision Score
22473
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jbean |
| Upload Date | April 20 2025 11:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 WIFI (MS-7E07) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11091
2.06 KIPS |
|
|
Image Classification (HP)
|
100% |
18739
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10057
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22102
358.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
33802
548.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19822
322.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
169488
197.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
475046
554.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
146743
171.9 IPS |
|
|
Object Detection (SP)
|
100% |
15067
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
23988
1.90 KIPS |
|
|
Object Detection (Q)
|
83% |
12863
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
40376
479.8 IPS |
|
|
Face Detection (HP)
|
100% |
59064
701.8 IPS |
|
|
Face Detection (Q)
|
97% |
34389
410.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
69976
539.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
128426
989.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
54630
436.0 IPS |
|
|
Style Transfer (SP)
|
100% |
233517
300.2 IPS |
|
|
Style Transfer (HP)
|
100% |
782429
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
199917
257.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40962
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75526
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33105
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4602
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2371
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6532
112.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6646
114.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2962
55.5 IPS |
