Apple Inc. Macmini8,1
Geekbench AI Score
2881
Single Precision Score
2833
Half Precision Score
3971
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ririsid |
| Upload Date | September 05 2024 04:59 AM |
| Views | 11 |
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 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (Q)
|
100% |
2929
544.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3235
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4016
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3954
4.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
7240
8.49 IPS |
|
|
Object Detection (SP)
|
100% |
1856
147.2 IPS |
|
|
Object Detection (HP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (Q)
|
87% |
3165
253.8 IPS |
|
|
Face Detection (SP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (Q)
|
97% |
8380
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5367
41.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
5386
41.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
8350
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11914
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11217
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14082
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2640
97.8 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (Q)
|
91% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2861
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2414
41.6 IPS |
|
|
Machine Translation (Q)
|
90% |
1802
31.3 IPS |
