Mac mini (Late 2018)
Geekbench AI Score
833
Single Precision Score
689
Half Precision Score
555
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| Upload Date | September 18 2024 07:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac mini (Late 2018) |
| Model ID | Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C Macmini8,1 |
| 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 |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
300
56.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (Q)
|
100% |
285
4.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
2620
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2130
2.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
1601
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
92% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
817
9.71 IPS |
|
|
Face Detection (HP)
|
100% |
700
8.31 IPS |
|
|
Face Detection (Q)
|
100% |
320
3.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1284
9.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
1042
8.03 IPS |
|
|
Depth Estimation (Q)
|
97% |
922
7.13 IPS |
|
|
Style Transfer (SP)
|
100% |
3450
4.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3326
4.28 IPS |
|
|
Style Transfer (Q)
|
100% |
3412
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
382
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
482
643.7 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.2 IPS |
|
|
Text Classification (Q)
|
93% |
473
634.4 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (Q)
|
98% |
557
9.63 IPS |
