Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
20184
Single Precision Score
26434
Half Precision Score
16381
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 12 2025 04:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 XT |
| 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% |
9915
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
11980
2.23 KIPS |
|
|
Image Classification (Q)
|
100% |
8960
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12366
200.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10595
171.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11072
180.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
105992
123.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
208229
243.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
92252
108.1 IPS |
|
|
Object Detection (SP)
|
100% |
7170
568.8 IPS |
|
|
Object Detection (HP)
|
99% |
12371
981.3 IPS |
|
|
Object Detection (Q)
|
87% |
6685
536.9 IPS |
|
|
Face Detection (SP)
|
100% |
24876
295.6 IPS |
|
|
Face Detection (HP)
|
100% |
33847
402.2 IPS |
|
|
Face Detection (Q)
|
97% |
21560
257.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
52793
406.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
67814
522.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
43860
351.7 IPS |
|
|
Style Transfer (SP)
|
100% |
185627
238.6 IPS |
|
|
Style Transfer (HP)
|
100% |
298566
383.8 IPS |
|
|
Style Transfer (Q)
|
98% |
162777
209.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31932
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44704
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25345
938.5 IPS |
|
|
Text Classification (SP)
|
100% |
3842
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2559
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4027
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4096
70.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2279
42.7 IPS |
