Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
29365
Single Precision Score
32046
Half Precision Score
21766
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Arsenicson |
| Upload Date | December 21 2024 08:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI DDR4 (MS-7D91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| 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% |
13217
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
12978
2.41 KIPS |
|
|
Image Classification (Q)
|
99% |
10452
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17098
277.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14268
231.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14477
235.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
193135
225.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
279653
326.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
155945
182.7 IPS |
|
|
Object Detection (SP)
|
100% |
13801
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
14108
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
10978
881.6 IPS |
|
|
Face Detection (SP)
|
100% |
36197
430.1 IPS |
|
|
Face Detection (HP)
|
100% |
39435
468.6 IPS |
|
|
Face Detection (Q)
|
97% |
29512
351.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
69294
533.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
77231
595.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
49020
393.6 IPS |
|
|
Style Transfer (SP)
|
100% |
352776
453.5 IPS |
|
|
Style Transfer (HP)
|
100% |
466694
599.9 IPS |
|
|
Style Transfer (Q)
|
98% |
271279
349.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41639
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49424
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29772
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
4451
5.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4534
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2764
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4909
84.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2854
53.5 IPS |
