Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
21652
Single Precision Score
31437
Half Precision Score
18678
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 17 2025 10:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10864
2.02 KIPS |
|
|
Image Classification (HP)
|
100% |
13482
2.51 KIPS |
|
|
Image Classification (Q)
|
100% |
10703
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9103
147.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10846
175.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11502
187.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
125412
146.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
401531
468.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
110461
129.4 IPS |
|
|
Object Detection (SP)
|
100% |
9724
771.3 IPS |
|
|
Object Detection (HP)
|
99% |
13702
1.09 KIPS |
|
|
Object Detection (Q)
|
87% |
8986
721.7 IPS |
|
|
Face Detection (SP)
|
100% |
27384
325.4 IPS |
|
|
Face Detection (HP)
|
100% |
34503
410.0 IPS |
|
|
Face Detection (Q)
|
97% |
23930
285.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
63126
486.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86191
664.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
49983
400.8 IPS |
|
|
Style Transfer (SP)
|
100% |
225871
290.4 IPS |
|
|
Style Transfer (HP)
|
100% |
419364
539.1 IPS |
|
|
Style Transfer (Q)
|
98% |
194151
250.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36278
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64767
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30490
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2629
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2273
42.6 IPS |
