Maxsun MS-iCraft B760M CROSS
Geekbench AI Score
5245
Single Precision Score
5207
Half Precision Score
11203
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | April 22 2025 06:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Maxsun MS-iCraft B760M CROSS |
| Motherboard | Maxsun MS-iCraft B760M CROSS |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3296
612.9 IPS |
|
|
Image Classification (HP)
|
100% |
3426
637.0 IPS |
|
|
Image Classification (Q)
|
100% |
3843
714.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4028
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3945
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7309
118.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6390
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6231
7.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
21580
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2801
222.2 IPS |
|
|
Object Detection (HP)
|
100% |
2833
224.7 IPS |
|
|
Object Detection (Q)
|
88% |
7396
592.8 IPS |
|
|
Face Detection (SP)
|
100% |
7408
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
7191
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
17035
202.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8150
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7722
59.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
20959
163.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19059
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19280
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
67134
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4194
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4183
154.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13122
485.9 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (Q)
|
92% |
5146
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4293
73.9 IPS |
