Apple Inc. Macmini8,1
Geekbench AI Score
1746
Single Precision Score
2552
Half Precision Score
2430
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:48 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1126
209.4 IPS |
|
|
Image Classification (HP)
|
100% |
1713
318.6 IPS |
|
|
Image Classification (Q)
|
100% |
1572
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2163
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2697
3.15 IPS |
|
|
Pose Estimation (HP)
|
99% |
2569
3.01 IPS |
|
|
Pose Estimation (Q)
|
97% |
3852
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
1061
84.2 IPS |
|
|
Object Detection (HP)
|
99% |
1753
139.5 IPS |
|
|
Object Detection (Q)
|
88% |
1636
131.2 IPS |
|
|
Face Detection (SP)
|
100% |
2832
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
4992
59.3 IPS |
|
|
Face Detection (Q)
|
97% |
4543
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3256
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5595
43.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
4972
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7637
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
10503
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9473
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2285
84.6 IPS |
|
|
Text Classification (SP)
|
71% |
757
1.09 KIPS |
|
|
Text Classification (HP)
|
71% |
863
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
655
880.2 IPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
97% |
1079
18.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1047
18.2 IPS |
