Micro-Star International Co., Ltd. MS-7D82
Geekbench AI Score
2298
Single Precision Score
2247
Half Precision Score
1716
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | January 08 2025 08:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 750 Ti |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D82 |
| Motherboard | Micro-Star International Co., Ltd. PRO H410M-B (MS-7D82) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
902
167.7 IPS |
|
|
Image Classification (HP)
|
100% |
886
164.8 IPS |
|
|
Image Classification (Q)
|
99% |
786
146.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1175
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
965
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7781
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
7218
8.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
6825
7.99 IPS |
|
|
Object Detection (SP)
|
100% |
1130
89.7 IPS |
|
|
Object Detection (HP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (Q)
|
83% |
925
74.7 IPS |
|
|
Face Detection (SP)
|
100% |
1906
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
1566
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4162
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4057
31.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3329
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12492
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12314
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
10791
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3566
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3286
121.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2444
90.5 IPS |
|
|
Text Classification (SP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
534
715.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1334
23.1 IPS |
|
|
Machine Translation (Q)
|
70% |
632
11.8 IPS |
