Colorful Technology And Development Co.,LTD H610M-D
Geekbench AI Score
3836
Single Precision Score
3891
Half Precision Score
9383
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 02:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13400EF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Colorful Technology And Development Co.,LTD H610M-D |
| Motherboard | Colorful Technology And Development Co.,LTD H610M-D |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13400EF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2413
448.8 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.7 IPS |
|
|
Image Classification (Q)
|
100% |
5983
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2786
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5376
87.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5043
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5050
5.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
18882
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (Q)
|
88% |
6568
526.5 IPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (Q)
|
100% |
9050
107.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6123
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6237
48.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
16407
127.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14643
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14586
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
53441
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3110
114.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3060
113.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10410
385.5 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2590
3.46 KIPS |
|
|
Text Classification (Q)
|
92% |
4174
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3846
66.3 IPS |
