Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41066
Single Precision Score
44916
Half Precision Score
31944
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 08:55 AM |
| Views | 3 |
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% |
17708
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
12689
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24113
390.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21783
353.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22032
358.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
396987
463.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
546214
637.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
335367
393.0 IPS |
|
|
Object Detection (SP)
|
100% |
20505
1.63 KIPS |
|
|
Object Detection (HP)
|
99% |
19384
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17732
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48847
580.4 IPS |
|
|
Face Detection (HP)
|
100% |
53794
639.2 IPS |
|
|
Face Detection (Q)
|
97% |
42041
501.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
91996
708.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104485
805.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
81567
668.4 IPS |
|
|
Style Transfer (SP)
|
100% |
621255
798.6 IPS |
|
|
Style Transfer (HP)
|
100% |
857727
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
537038
692.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68247
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75612
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54245
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
5040
6.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4766
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
3000
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4672
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4711
81.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2221
49.5 IPS |
