Micro-Star International Co., Ltd. MS-7E77
Geekbench AI Score
22900
Single Precision Score
42494
Half Precision Score
17743
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B840M-P WIFI6E (MS-7E77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9565
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
17117
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8809
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15816
256.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23036
373.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14621
237.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
123141
143.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
392682
458.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
114304
133.9 IPS |
|
|
Object Detection (SP)
|
100% |
11777
934.2 IPS |
|
|
Object Detection (HP)
|
100% |
20925
1.66 KIPS |
|
|
Object Detection (Q)
|
83% |
10087
815.0 IPS |
|
|
Face Detection (SP)
|
100% |
30158
358.3 IPS |
|
|
Face Detection (HP)
|
100% |
49236
585.0 IPS |
|
|
Face Detection (Q)
|
97% |
26405
314.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
54567
420.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
116817
900.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
44255
353.2 IPS |
|
|
Style Transfer (SP)
|
100% |
173621
223.2 IPS |
|
|
Style Transfer (HP)
|
100% |
598591
769.5 IPS |
|
|
Style Transfer (Q)
|
98% |
149307
192.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33917
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66409
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25813
955.8 IPS |
|
|
Text Classification (SP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4872
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4846
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5320
91.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1976
37.1 IPS |
