Mac mini (Late 2018)
Geekbench AI Score
859
Single Precision Score
703
Half Precision Score
499
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Merlin12 |
| Upload Date | December 09 2024 04:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
423
78.7 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
96% |
179
33.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
253
4.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
2705
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1591
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
92% |
210
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.93 IPS |
|
|
Face Detection (Q)
|
100% |
329
3.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
1373
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1069
8.24 IPS |
|
|
Depth Estimation (Q)
|
86% |
687
5.36 IPS |
|
|
Style Transfer (SP)
|
100% |
3410
4.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3295
4.24 IPS |
|
|
Style Transfer (Q)
|
96% |
2551
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
469
626.3 IPS |
|
|
Text Classification (HP)
|
100% |
459
612.7 IPS |
|
|
Text Classification (Q)
|
93% |
456
611.8 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
98% |
592
10.2 IPS |
