Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
3735
Single Precision Score
3759
Half Precision Score
9014
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 23 2025 10:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12400F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E DDR4 (MS-7D48) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.4 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (Q)
|
100% |
5743
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5375
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4140
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4350
5.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
17051
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2149
170.4 IPS |
|
|
Object Detection (HP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (Q)
|
88% |
5831
467.4 IPS |
|
|
Face Detection (SP)
|
100% |
4824
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
4685
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
13828
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5980
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5834
44.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14566
113.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14349
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14793
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
46199
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2759
101.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2686
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9757
361.3 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2454
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3928
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3236
55.7 IPS |
