Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41165
Single Precision Score
45027
Half Precision Score
32156
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 09:40 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| Power Plan | Adamx's Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15452
2.87 KIPS |
|
|
Image Classification (HP)
|
100% |
17688
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
12836
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24086
390.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21756
352.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22070
358.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
402066
469.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
549812
641.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
348426
408.3 IPS |
|
|
Object Detection (SP)
|
100% |
20351
1.61 KIPS |
|
|
Object Detection (HP)
|
99% |
19382
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17777
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48795
579.8 IPS |
|
|
Face Detection (HP)
|
100% |
54137
643.3 IPS |
|
|
Face Detection (Q)
|
97% |
42140
502.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
91952
708.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104810
807.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
81743
669.8 IPS |
|
|
Style Transfer (SP)
|
100% |
621926
799.5 IPS |
|
|
Style Transfer (HP)
|
100% |
877069
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
540369
696.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67953
2.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75497
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54551
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2979
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4661
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4681
80.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2227
49.7 IPS |
