Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
19068
Single Precision Score
30974
Half Precision Score
12218
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | March 21 2025 09:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO A620M-E (MS-7E28) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7699
1.43 KIPS |
|
|
Image Classification (HP)
|
99% |
11672
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
5540
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12540
203.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19633
318.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9804
159.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
105554
123.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
298995
348.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
82936
97.2 IPS |
|
|
Object Detection (SP)
|
100% |
9873
783.1 IPS |
|
|
Object Detection (HP)
|
100% |
15146
1.20 KIPS |
|
|
Object Detection (Q)
|
85% |
7221
581.3 IPS |
|
|
Face Detection (SP)
|
100% |
22213
263.9 IPS |
|
|
Face Detection (HP)
|
100% |
35197
418.2 IPS |
|
|
Face Detection (Q)
|
97% |
16916
201.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
46773
360.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
83785
645.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
28585
229.0 IPS |
|
|
Style Transfer (SP)
|
100% |
175076
225.1 IPS |
|
|
Style Transfer (HP)
|
100% |
436617
561.3 IPS |
|
|
Style Transfer (Q)
|
98% |
133447
172.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30862
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41919
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17697
655.3 IPS |
|
|
Text Classification (SP)
|
100% |
2839
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
3627
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1410
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4002
68.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1416
26.6 IPS |
