Micro-Star International Co., Ltd. MS-7D31
Geekbench AI Score
24150
Single Precision Score
31382
Half Precision Score
18855
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 04:00 PM |
| Views | 5 |
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% |
9051
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
10033
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
7440
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15251
247.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18901
306.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14104
229.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
207654
242.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
367531
428.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
186819
218.9 IPS |
|
|
Object Detection (SP)
|
100% |
8475
672.3 IPS |
|
|
Object Detection (HP)
|
99% |
11819
937.5 IPS |
|
|
Object Detection (Q)
|
89% |
7522
602.4 IPS |
|
|
Face Detection (SP)
|
100% |
30156
358.3 IPS |
|
|
Face Detection (HP)
|
100% |
37319
443.4 IPS |
|
|
Face Detection (Q)
|
97% |
25661
306.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
66888
515.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
81036
624.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
51641
416.4 IPS |
|
|
Style Transfer (SP)
|
100% |
279018
358.7 IPS |
|
|
Style Transfer (HP)
|
100% |
465916
598.9 IPS |
|
|
Style Transfer (Q)
|
98% |
278869
359.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34442
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50512
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26017
963.4 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2047
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4161
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4094
70.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1957
43.6 IPS |
