Micro-Star International Co., Ltd. MS-7E44
Geekbench AI Score
19423
Single Precision Score
36134
Half Precision Score
14806
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | DiamondGotCat |
| Upload Date | August 25 2025 03:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E44 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-S DDR4 (MS-7E44) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7320
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
15249
2.84 KIPS |
|
|
Image Classification (Q)
|
99% |
6515
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14925
242.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23501
381.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13466
219.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
94652
110.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
294457
343.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
79415
93.0 IPS |
|
|
Object Detection (SP)
|
100% |
10222
810.8 IPS |
|
|
Object Detection (HP)
|
100% |
16651
1.32 KIPS |
|
|
Object Detection (Q)
|
83% |
8849
714.9 IPS |
|
|
Face Detection (SP)
|
100% |
25324
300.9 IPS |
|
|
Face Detection (HP)
|
100% |
42789
508.4 IPS |
|
|
Face Detection (Q)
|
97% |
22460
267.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
46151
355.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95664
737.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
37226
297.6 IPS |
|
|
Style Transfer (SP)
|
100% |
145504
187.0 IPS |
|
|
Style Transfer (HP)
|
100% |
502262
645.7 IPS |
|
|
Style Transfer (Q)
|
98% |
123773
159.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26376
973.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47877
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20371
754.3 IPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2036
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4892
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5427
93.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1914
35.9 IPS |
