Mac mini (Late 2018)
Geekbench AI Score
623
Single Precision Score
631
Half Precision Score
340
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | September 22 2025 04:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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% |
492
91.5 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (Q)
|
96% |
124
23.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
168
2.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
3423
3.99 IPS |
|
|
Pose Estimation (HP)
|
99% |
6175
7.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
1593
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
94% |
147
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1406
16.7 IPS |
|
|
Face Detection (Q)
|
100% |
231
2.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
705
5.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
683
5.26 IPS |
|
|
Depth Estimation (Q)
|
85% |
664
5.19 IPS |
|
|
Style Transfer (SP)
|
100% |
1324
1.70 IPS |
|
|
Style Transfer (HP)
|
100% |
1282
1.65 IPS |
|
|
Style Transfer (Q)
|
96% |
1247
1.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
341
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
322
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.4 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.7 IPS |
|
|
Text Classification (Q)
|
93% |
264
354.3 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
98% |
264
4.57 IPS |
