Mac mini (Late 2018) GPU Mac mini (Late 2018)
Geekbench AI Score
616
Single Precision Score
615
Half Precision Score
308
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Mulva |
| Upload Date | February 01 2025 07:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
545
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (Q)
|
96% |
120
22.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
158
2.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
3660
4.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
6430
7.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
1580
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
94% |
120
9.60 IPS |
|
|
Face Detection (SP)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1285
15.3 IPS |
|
|
Face Detection (Q)
|
100% |
206
2.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
774
5.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
734
5.65 IPS |
|
|
Depth Estimation (Q)
|
85% |
711
5.56 IPS |
|
|
Style Transfer (SP)
|
100% |
1436
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
1390
1.79 IPS |
|
|
Style Transfer (Q)
|
96% |
1339
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
367
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
347
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.1 IPS |
|
|
Text Classification (HP)
|
100% |
263
351.4 IPS |
|
|
Text Classification (Q)
|
93% |
148
199.1 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (Q)
|
98% |
215
3.72 IPS |
