Micro-Star International Co., Ltd. MS-7D31
Geekbench AI Score
29836
Single Precision Score
41293
Half Precision Score
25551
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | August 06 2025 06:15 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 | High 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% |
14358
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
16481
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
13814
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13747
222.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15647
253.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17241
280.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
182250
212.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
565250
659.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
167167
195.9 IPS |
|
|
Object Detection (SP)
|
100% |
13578
1.08 KIPS |
|
|
Object Detection (HP)
|
99% |
17158
1.36 KIPS |
|
|
Object Detection (Q)
|
89% |
12805
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
35512
422.0 IPS |
|
|
Face Detection (HP)
|
100% |
40903
486.0 IPS |
|
|
Face Detection (Q)
|
97% |
32493
387.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
78194
602.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
108388
835.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
65242
526.0 IPS |
|
|
Style Transfer (SP)
|
100% |
352816
453.5 IPS |
|
|
Style Transfer (HP)
|
100% |
652928
839.3 IPS |
|
|
Style Transfer (Q)
|
98% |
334629
431.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47436
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73698
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39011
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
5042
6.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
97% |
3485
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4885
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2413
53.8 IPS |
