Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
21861
Single Precision Score
32505
Half Precision Score
19209
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 11:40 AM |
| Views | 4 |
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-7D90 |
| Motherboard | Micro-Star International Co., Ltd. B760M BOMBER WIFI (MS-7D90) |
| 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% |
11733
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
13884
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
10793
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9844
159.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11418
185.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11881
193.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
122610
143.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
400432
467.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
113076
132.5 IPS |
|
|
Object Detection (SP)
|
100% |
9613
762.5 IPS |
|
|
Object Detection (HP)
|
99% |
14059
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
9288
745.9 IPS |
|
|
Face Detection (SP)
|
100% |
27587
327.8 IPS |
|
|
Face Detection (HP)
|
100% |
34534
410.3 IPS |
|
|
Face Detection (Q)
|
97% |
24430
291.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
60996
469.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86978
670.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
51228
410.8 IPS |
|
|
Style Transfer (SP)
|
100% |
218030
280.3 IPS |
|
|
Style Transfer (HP)
|
100% |
438512
563.7 IPS |
|
|
Style Transfer (Q)
|
98% |
195537
252.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35759
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63501
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30135
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3786
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4503
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2782
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3688
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2476
46.4 IPS |
