Micro-Star International Co., Ltd. MS-7D43
Geekbench AI Score
8531
Single Precision Score
7319
Half Precision Score
6132
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 20 2025 12:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D43 |
| Motherboard | Micro-Star International Co., Ltd. PRO B660M-A DDR4 (MS-7D43) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3533
657.0 IPS |
|
|
Image Classification (HP)
|
100% |
3548
659.9 IPS |
|
|
Image Classification (Q)
|
99% |
2912
543.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5678
92.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5144
83.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4656
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36087
42.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23445
27.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30433
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4278
339.3 IPS |
|
|
Object Detection (HP)
|
100% |
4283
339.7 IPS |
|
|
Object Detection (Q)
|
83% |
3445
278.4 IPS |
|
|
Face Detection (SP)
|
100% |
8914
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
8860
105.3 IPS |
|
|
Face Detection (Q)
|
97% |
7423
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19967
153.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16277
125.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15240
121.6 IPS |
|
|
Style Transfer (SP)
|
100% |
66527
85.5 IPS |
|
|
Style Transfer (HP)
|
100% |
45903
59.0 IPS |
|
|
Style Transfer (Q)
|
98% |
53550
69.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12584
464.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10461
386.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7927
293.5 IPS |
|
|
Text Classification (SP)
|
100% |
1622
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (Q)
|
97% |
954
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2728
47.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2754
47.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1156
21.7 IPS |
