Apple Inc. Macmini8,1
Geekbench AI Score
3210
Single Precision Score
3243
Half Precision Score
4727
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 01:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700B CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700B |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.3 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.6 IPS |
|
|
Image Classification (Q)
|
100% |
3156
586.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4360
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4089
4.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
7629
8.95 IPS |
|
|
Object Detection (SP)
|
100% |
1858
147.4 IPS |
|
|
Object Detection (HP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (Q)
|
87% |
3195
256.2 IPS |
|
|
Face Detection (SP)
|
100% |
3803
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
3828
45.5 IPS |
|
|
Face Detection (Q)
|
97% |
8383
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5500
42.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
5529
42.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
8733
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12449
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12451
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23050
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2520
93.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2574
95.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4983
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1668
2.23 KIPS |
|
|
Text Classification (Q)
|
91% |
1135
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (Q)
|
90% |
2314
40.2 IPS |
