Micro-Star International Co., Ltd. MS-7D73
Geekbench AI Score
5758
Single Precision Score
2465
Half Precision Score
11369
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 20 2026 11:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D73 |
| Motherboard | Micro-Star International Co., Ltd. MPG B650I EDGE WIFI (MS-7D73) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5583
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (Q)
|
99% |
11317
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12779
207.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8873
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7167
8.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
34404
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
4953
392.9 IPS |
|
|
Object Detection (HP)
|
100% |
1197
94.9 IPS |
|
|
Object Detection (Q)
|
86% |
11604
932.6 IPS |
|
|
Face Detection (SP)
|
100% |
8528
101.3 IPS |
|
|
Face Detection (HP)
|
100% |
2333
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
12569
149.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11684
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3323
25.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
23958
191.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20937
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16280
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29117
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3196
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5968
221.0 IPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1350
1.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2305
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4271
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5185
104.2 IPS |
