Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41205
Single Precision Score
45170
Half Precision Score
31948
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 09:11 AM |
| Views | 6 |
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% |
15531
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
17518
3.26 KIPS |
|
|
Image Classification (Q)
|
100% |
12650
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24213
392.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21800
353.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22076
359.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
400454
467.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
554982
647.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
351943
412.4 IPS |
|
|
Object Detection (SP)
|
100% |
20405
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19447
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17710
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48817
580.1 IPS |
|
|
Face Detection (HP)
|
100% |
53896
640.4 IPS |
|
|
Face Detection (Q)
|
97% |
42096
502.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
92315
711.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104502
805.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
81773
670.1 IPS |
|
|
Style Transfer (SP)
|
100% |
624984
803.4 IPS |
|
|
Style Transfer (HP)
|
100% |
879777
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
545082
702.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67651
2.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75082
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50066
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
5187
6.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4786
6.39 KIPS |
|
|
Text Classification (Q)
|
97% |
3055
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4646
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4819
83.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2218
49.5 IPS |
