Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
21999
Single Precision Score
39601
Half Precision Score
17248
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 05:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E24 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING PLUS WIFI (MS-7E24) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9417
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
16267
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
8653
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14187
230.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19746
320.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13474
219.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
120879
141.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
377730
440.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
113294
132.7 IPS |
|
|
Object Detection (SP)
|
100% |
11428
906.4 IPS |
|
|
Object Detection (HP)
|
100% |
19573
1.55 KIPS |
|
|
Object Detection (Q)
|
83% |
9842
795.2 IPS |
|
|
Face Detection (SP)
|
100% |
28118
334.1 IPS |
|
|
Face Detection (HP)
|
100% |
44582
529.7 IPS |
|
|
Face Detection (Q)
|
97% |
24713
294.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
55069
424.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112759
868.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
44089
351.9 IPS |
|
|
Style Transfer (SP)
|
100% |
168133
216.1 IPS |
|
|
Style Transfer (HP)
|
100% |
581198
747.1 IPS |
|
|
Style Transfer (Q)
|
98% |
148499
191.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33304
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63004
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25703
951.8 IPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4550
6.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2312
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4519
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4769
82.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1865
35.0 IPS |
