Mac mini (Late 2018)
Geekbench AI Score
762
Single Precision Score
95
Half Precision Score
80
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | callearvid |
| Upload Date | August 17 2025 08:01 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8500B |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
365
67.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2283
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
578
0.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
537
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (Q)
|
100% |
311
3.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
1168
9.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
895
6.90 IPS |
|
|
Depth Estimation (Q)
|
85% |
610
4.77 IPS |
|
|
Style Transfer (SP)
|
100% |
3015
3.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2231
2.87 IPS |
|
|
Style Transfer (Q)
|
96% |
1812
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
294
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.4 IPS |
|
|
Text Classification (HP)
|
100% |
422
562.7 IPS |
|
|
Text Classification (Q)
|
93% |
431
578.2 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.59 IPS |
|
|
Machine Translation (Q)
|
98% |
476
8.22 IPS |
