Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
25193
Single Precision Score
38973
Half Precision Score
21912
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 16 2025 04:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 | 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% |
11303
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
14378
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
11283
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12551
203.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15768
255.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17472
284.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
131060
152.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
434996
507.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
116352
136.3 IPS |
|
|
Object Detection (SP)
|
100% |
10915
865.8 IPS |
|
|
Object Detection (HP)
|
99% |
16708
1.33 KIPS |
|
|
Object Detection (Q)
|
87% |
10241
822.5 IPS |
|
|
Face Detection (SP)
|
100% |
33534
398.5 IPS |
|
|
Face Detection (HP)
|
100% |
48814
580.0 IPS |
|
|
Face Detection (Q)
|
97% |
29123
347.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
66256
510.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95554
736.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
55679
446.5 IPS |
|
|
Style Transfer (SP)
|
100% |
236581
304.1 IPS |
|
|
Style Transfer (HP)
|
100% |
469746
603.9 IPS |
|
|
Style Transfer (Q)
|
98% |
203832
262.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37170
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69444
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31622
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4436
5.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2905
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6742
116.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7269
125.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3579
67.1 IPS |
