Apple Inc. Macmini8,1
Geekbench AI Score
3148
Single Precision Score
3159
Half Precision Score
4737
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maf654321 |
| Upload Date | April 30 2025 03:06 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700B CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| 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 | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1969
366.2 IPS |
|
|
Image Classification (HP)
|
100% |
1953
363.2 IPS |
|
|
Image Classification (Q)
|
100% |
3017
561.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3623
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3545
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3524
4.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
6929
8.13 IPS |
|
|
Object Detection (SP)
|
100% |
1859
147.5 IPS |
|
|
Object Detection (HP)
|
100% |
1878
149.0 IPS |
|
|
Object Detection (Q)
|
87% |
3053
244.9 IPS |
|
|
Face Detection (SP)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (Q)
|
97% |
8077
96.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4867
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4857
37.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
8020
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10763
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10923
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20767
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2346
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4433
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (Q)
|
91% |
1228
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3363
57.9 IPS |
