Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41113
Single Precision Score
44945
Half Precision Score
31852
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 09:16 AM |
| Views | 14 |
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% |
15492
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17650
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
12743
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24273
393.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21797
353.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22068
358.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
396050
462.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
541181
631.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
340094
398.5 IPS |
|
|
Object Detection (SP)
|
100% |
20394
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19376
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17621
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
48693
578.6 IPS |
|
|
Face Detection (HP)
|
100% |
53896
640.4 IPS |
|
|
Face Detection (Q)
|
97% |
42024
501.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
92045
709.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104991
808.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
82022
672.1 IPS |
|
|
Style Transfer (SP)
|
100% |
626176
805.0 IPS |
|
|
Style Transfer (HP)
|
100% |
871439
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
551890
711.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68360
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75044
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50232
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
5050
6.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4768
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
3003
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4689
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4726
81.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2223
49.6 IPS |
