Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
15341
Single Precision Score
26653
Half Precision Score
10037
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Kcb |
| Upload Date | January 13 2026 03:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 7 9700X |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6380
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
10825
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
4645
866.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10985
178.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18160
294.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8473
137.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
73704
86.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
187879
219.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
59001
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
7832
621.2 IPS |
|
|
Object Detection (HP)
|
100% |
14968
1.19 KIPS |
|
|
Object Detection (Q)
|
84% |
5864
473.0 IPS |
|
|
Face Detection (SP)
|
100% |
18467
219.4 IPS |
|
|
Face Detection (HP)
|
100% |
31194
370.7 IPS |
|
|
Face Detection (Q)
|
97% |
14157
168.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
35173
271.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
67099
518.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
23437
187.6 IPS |
|
|
Style Transfer (SP)
|
100% |
118768
152.7 IPS |
|
|
Style Transfer (HP)
|
100% |
295479
379.8 IPS |
|
|
Style Transfer (Q)
|
98% |
93627
120.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21853
806.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37335
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13442
497.7 IPS |
|
|
Text Classification (SP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1243
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1469
27.5 IPS |
