Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41278
Single Precision Score
45347
Half Precision Score
32471
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 10:06 AM |
| Views | 26 |
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% |
15645
2.91 KIPS |
|
|
Image Classification (HP)
|
100% |
17875
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
12926
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24247
393.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21936
355.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22289
362.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
402570
469.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
535006
624.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
352001
412.4 IPS |
|
|
Object Detection (SP)
|
100% |
20548
1.63 KIPS |
|
|
Object Detection (HP)
|
99% |
19603
1.55 KIPS |
|
|
Object Detection (Q)
|
89% |
17903
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
49183
584.4 IPS |
|
|
Face Detection (HP)
|
100% |
54324
645.5 IPS |
|
|
Face Detection (Q)
|
97% |
42270
504.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
92400
711.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105509
812.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
82473
675.8 IPS |
|
|
Style Transfer (SP)
|
100% |
625627
804.3 IPS |
|
|
Style Transfer (HP)
|
100% |
890360
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
543913
701.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68452
2.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75387
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55031
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
5028
6.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4799
6.41 KIPS |
|
|
Text Classification (Q)
|
97% |
3086
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4678
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4843
83.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2229
49.7 IPS |
