Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
20579
Single Precision Score
26805
Half Precision Score
16792
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 23 2025 06:34 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10305
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
12407
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9059
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13413
217.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11405
184.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12018
195.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
101764
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
199223
232.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
91413
107.1 IPS |
|
|
Object Detection (SP)
|
100% |
7217
572.4 IPS |
|
|
Object Detection (HP)
|
99% |
12696
1.01 KIPS |
|
|
Object Detection (Q)
|
87% |
7043
565.6 IPS |
|
|
Face Detection (SP)
|
100% |
25969
308.6 IPS |
|
|
Face Detection (HP)
|
100% |
34286
407.4 IPS |
|
|
Face Detection (Q)
|
97% |
22534
268.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
51263
394.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
66875
515.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
42955
344.5 IPS |
|
|
Style Transfer (SP)
|
100% |
178703
229.7 IPS |
|
|
Style Transfer (HP)
|
100% |
276021
354.8 IPS |
|
|
Style Transfer (Q)
|
98% |
160501
207.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30596
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42491
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25104
929.6 IPS |
|
|
Text Classification (SP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2612
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4722
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5084
87.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2497
46.8 IPS |
