Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
20379
Single Precision Score
34067
Half Precision Score
12843
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MrDreek |
| Upload Date | March 19 2025 04:32 AM |
| Views | 13 |
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-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8062
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
12839
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
5800
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14705
238.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24345
394.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11136
181.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
105854
123.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
311852
363.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
85426
100.1 IPS |
|
|
Object Detection (SP)
|
100% |
10637
843.8 IPS |
|
|
Object Detection (HP)
|
100% |
17536
1.39 KIPS |
|
|
Object Detection (Q)
|
85% |
7622
613.6 IPS |
|
|
Face Detection (SP)
|
100% |
24244
288.1 IPS |
|
|
Face Detection (HP)
|
100% |
40474
480.9 IPS |
|
|
Face Detection (Q)
|
97% |
17855
212.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
48966
377.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
88187
679.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
31270
250.5 IPS |
|
|
Style Transfer (SP)
|
100% |
180943
232.6 IPS |
|
|
Style Transfer (HP)
|
100% |
471992
606.8 IPS |
|
|
Style Transfer (Q)
|
98% |
138874
179.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32686
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44371
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18024
667.4 IPS |
|
|
Text Classification (SP)
|
100% |
2869
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3556
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1343
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4635
79.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1547
29.0 IPS |
