Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
11734
Single Precision Score
22673
Half Precision Score
8195
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E02 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-P (MS-7E02) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-14100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4854
902.6 IPS |
|
|
Image Classification (HP)
|
99% |
9324
1.74 KIPS |
|
|
Image Classification (Q)
|
99% |
3875
722.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8480
137.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15286
247.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7010
114.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
44178
51.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
146400
170.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
38601
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
6065
481.1 IPS |
|
|
Object Detection (HP)
|
100% |
12701
1.01 KIPS |
|
|
Object Detection (Q)
|
84% |
4658
375.7 IPS |
|
|
Face Detection (SP)
|
100% |
14165
168.3 IPS |
|
|
Face Detection (HP)
|
100% |
25169
299.1 IPS |
|
|
Face Detection (Q)
|
97% |
11377
135.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26592
204.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
59448
459.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
19949
159.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78209
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
241711
310.7 IPS |
|
|
Style Transfer (Q)
|
98% |
69455
89.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16524
610.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31546
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11204
414.9 IPS |
|
|
Text Classification (SP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3222
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3686
63.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1374
25.8 IPS |
