Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
20115
Single Precision Score
24640
Half Precision Score
16178
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | yashrao777 |
| Upload Date | March 19 2025 05:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9395
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
11042
2.05 KIPS |
|
|
Image Classification (Q)
|
100% |
8436
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13575
220.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10880
176.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11370
184.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
98813
115.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
156574
182.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
88018
103.1 IPS |
|
|
Object Detection (SP)
|
100% |
7511
595.8 IPS |
|
|
Object Detection (HP)
|
99% |
12044
955.3 IPS |
|
|
Object Detection (Q)
|
87% |
7010
563.0 IPS |
|
|
Face Detection (SP)
|
100% |
26153
310.8 IPS |
|
|
Face Detection (HP)
|
100% |
33741
400.9 IPS |
|
|
Face Detection (Q)
|
97% |
22026
262.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
51125
393.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
63298
487.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
42000
336.8 IPS |
|
|
Style Transfer (SP)
|
100% |
174604
224.5 IPS |
|
|
Style Transfer (HP)
|
100% |
264166
339.6 IPS |
|
|
Style Transfer (Q)
|
98% |
151710
195.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29516
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37597
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24084
891.8 IPS |
|
|
Text Classification (SP)
|
100% |
3494
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2431
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4760
82.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4971
85.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2526
47.4 IPS |
