Mac mini (Late 2018)
Geekbench AI Score
672
Single Precision Score
91
Half Precision Score
76
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | Chris Sack |
| Upload Date | May 12 2025 02:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8500B |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac mini (Late 2018) |
| Model ID | Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C Macmini8,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500B |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
549
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
511
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
684
8.13 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.09 IPS |
|
|
Face Detection (Q)
|
100% |
268
3.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
1044
8.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
778
6.00 IPS |
|
|
Depth Estimation (Q)
|
85% |
540
4.22 IPS |
|
|
Style Transfer (SP)
|
100% |
3084
3.96 IPS |
|
|
Style Transfer (HP)
|
100% |
2088
2.68 IPS |
|
|
Style Transfer (Q)
|
96% |
1652
2.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1091
40.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
456
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
283
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
386
515.7 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.3 IPS |
|
|
Text Classification (Q)
|
93% |
421
564.5 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.40 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (Q)
|
98% |
444
7.67 IPS |
