Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41091
Single Precision Score
45015
Half Precision Score
31786
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 08:57 AM |
| Views | 5 |
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% |
15485
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17679
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
12818
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24177
391.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21833
353.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22163
360.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
397807
464.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
543429
634.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
335349
392.9 IPS |
|
|
Object Detection (SP)
|
100% |
20508
1.63 KIPS |
|
|
Object Detection (HP)
|
99% |
19611
1.56 KIPS |
|
|
Object Detection (Q)
|
89% |
17771
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48627
577.8 IPS |
|
|
Face Detection (HP)
|
100% |
53777
639.0 IPS |
|
|
Face Detection (Q)
|
97% |
41994
500.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
92025
709.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104681
806.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
81811
670.4 IPS |
|
|
Style Transfer (SP)
|
100% |
612842
787.8 IPS |
|
|
Style Transfer (HP)
|
100% |
865900
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
544707
702.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67910
2.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74599
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50082
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4730
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2987
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4669
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4829
83.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2222
49.6 IPS |
