Micro-Star International Co., Ltd. MS-7D31
Geekbench AI Score
21516
Single Precision Score
27156
Half Precision Score
18360
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 03:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D31 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 EDGE WIFI (MS-7D31) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8145
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
9002
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
7928
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10101
163.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11771
190.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13518
219.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
181599
211.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
362525
423.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
188836
221.3 IPS |
|
|
Object Detection (SP)
|
100% |
8801
698.1 IPS |
|
|
Object Detection (HP)
|
99% |
10441
828.2 IPS |
|
|
Object Detection (Q)
|
89% |
8259
661.4 IPS |
|
|
Face Detection (SP)
|
100% |
27496
326.7 IPS |
|
|
Face Detection (HP)
|
100% |
30806
366.0 IPS |
|
|
Face Detection (Q)
|
97% |
25705
306.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
61894
476.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
65150
501.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
48052
387.4 IPS |
|
|
Style Transfer (SP)
|
100% |
267408
343.8 IPS |
|
|
Style Transfer (HP)
|
100% |
411909
529.5 IPS |
|
|
Style Transfer (Q)
|
98% |
247976
319.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28608
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45762
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24386
903.0 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3638
4.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1872
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3830
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1863
41.6 IPS |
