Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41254
Single Precision Score
45010
Half Precision Score
32139
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | September 21 2024 01:56 AM |
| Views | 7 |
| Notes | reee |
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, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15494
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17662
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
12840
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23646
383.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21492
348.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21837
355.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
403676
471.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
550572
642.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
340898
399.4 IPS |
|
|
Object Detection (SP)
|
100% |
20446
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19413
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17780
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48684
578.5 IPS |
|
|
Face Detection (HP)
|
100% |
53635
637.3 IPS |
|
|
Face Detection (Q)
|
97% |
41849
499.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
92600
713.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104845
807.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
82187
673.5 IPS |
|
|
Style Transfer (SP)
|
100% |
640578
823.5 IPS |
|
|
Style Transfer (HP)
|
100% |
886000
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
549517
708.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68316
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75541
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54877
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
5147
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4779
6.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2998
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4651
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4677
80.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2225
49.6 IPS |
