Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
15236
Single Precision Score
27325
Half Precision Score
10241
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | defogger |
| Upload Date | October 29 2025 09:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI DDR4 (MS-7D91) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6418
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
11068
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
4734
882.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10762
174.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17675
286.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8614
140.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
71351
83.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
207844
242.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59293
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
7723
612.6 IPS |
|
|
Object Detection (HP)
|
100% |
14778
1.17 KIPS |
|
|
Object Detection (Q)
|
84% |
6015
485.1 IPS |
|
|
Face Detection (SP)
|
100% |
18180
216.0 IPS |
|
|
Face Detection (HP)
|
100% |
31447
373.7 IPS |
|
|
Face Detection (Q)
|
97% |
14352
171.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
35413
272.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
70065
541.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
24699
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
119749
153.9 IPS |
|
|
Style Transfer (HP)
|
100% |
312146
401.3 IPS |
|
|
Style Transfer (Q)
|
98% |
94400
121.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21327
787.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39217
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13691
507.0 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
3388
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4117
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1487
27.9 IPS |
