Mac mini (Late 2018)
Geekbench AI Score
499
Single Precision Score
72
Half Precision Score
64
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | cwebb15 |
| Upload Date | April 05 2026 11:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 15.7.5 (Build 24G624) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1545
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
357
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
581
6.90 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
100% |
233
2.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
657
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
460
3.54 IPS |
|
|
Depth Estimation (Q)
|
85% |
356
2.79 IPS |
|
|
Style Transfer (SP)
|
100% |
1310
1.68 IPS |
|
|
Style Transfer (HP)
|
100% |
1115
1.43 IPS |
|
|
Style Transfer (Q)
|
96% |
1254
1.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
208
7.68 IPS |
|
|
Text Classification (SP)
|
100% |
274
365.9 IPS |
|
|
Text Classification (HP)
|
100% |
367
490.0 IPS |
|
|
Text Classification (Q)
|
93% |
396
531.4 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (Q)
|
98% |
394
6.80 IPS |
