Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
16276
Single Precision Score
27406
Half Precision Score
10983
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 01:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6648
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
11081
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
4994
931.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
11465
185.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16442
266.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9125
148.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
81087
94.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
228982
267.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
66348
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
8194
649.9 IPS |
|
|
Object Detection (HP)
|
100% |
13982
1.11 KIPS |
|
|
Object Detection (Q)
|
84% |
6249
504.0 IPS |
|
|
Face Detection (SP)
|
100% |
20299
241.2 IPS |
|
|
Face Detection (HP)
|
100% |
32861
390.5 IPS |
|
|
Face Detection (Q)
|
97% |
15860
189.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
38299
295.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71500
550.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
26192
209.8 IPS |
|
|
Style Transfer (SP)
|
100% |
137642
176.9 IPS |
|
|
Style Transfer (HP)
|
100% |
316761
407.2 IPS |
|
|
Style Transfer (Q)
|
98% |
107788
139.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26599
982.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40528
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15383
569.6 IPS |
|
|
Text Classification (SP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3205
4.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1255
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1565
29.4 IPS |
