Mac mini (Late 2018)
Geekbench AI Score
752
Single Precision Score
688
Half Precision Score
506
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AVX2
Result Information
| Upload Date | August 11 2024 10:50 AM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i3-8100B |
| System Information | |
|---|---|
| Operating System | macOS 14.1.1 (Build 23B81) |
| Model | Mac mini (Late 2018) |
| Model ID | Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C Macmini8,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100B |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.5 IPS |
|
|
Image Classification (Q)
|
99% |
354
66.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
100% |
219
3.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2109
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2099
2.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
1441
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
388
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
92% |
171
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (HP)
|
100% |
614
7.30 IPS |
|
|
Face Detection (Q)
|
100% |
242
2.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
1108
8.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
993
7.65 IPS |
|
|
Depth Estimation (Q)
|
97% |
992
7.67 IPS |
|
|
Style Transfer (SP)
|
100% |
3484
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
3379
4.34 IPS |
|
|
Style Transfer (Q)
|
100% |
3396
4.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
432
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
495
660.4 IPS |
|
|
Text Classification (HP)
|
100% |
370
493.7 IPS |
|
|
Text Classification (Q)
|
93% |
366
490.9 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.38 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
98% |
448
7.74 IPS |
