Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
26035
Single Precision Score
38979
Half Precision Score
20119
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jbean |
| Upload Date | April 19 2025 12:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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% |
10007
1.86 KIPS |
|
|
Image Classification (HP)
|
99% |
15457
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
8901
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18501
299.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23024
373.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16088
261.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
147010
171.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
343954
401.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
131323
153.9 IPS |
|
|
Object Detection (SP)
|
100% |
12728
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
19509
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
10908
878.1 IPS |
|
|
Face Detection (SP)
|
100% |
35023
416.2 IPS |
|
|
Face Detection (HP)
|
100% |
49496
588.1 IPS |
|
|
Face Detection (Q)
|
97% |
29615
353.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
62568
482.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
102957
793.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
49659
396.5 IPS |
|
|
Style Transfer (SP)
|
100% |
254656
327.4 IPS |
|
|
Style Transfer (HP)
|
100% |
544934
700.5 IPS |
|
|
Style Transfer (Q)
|
98% |
225631
290.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43970
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53387
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31203
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3480
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
4261
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2190
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4838
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5368
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2337
43.8 IPS |
