Mac mini (Late 2018)
Geekbench AI Score
1870
Single Precision Score
1780
Half Precision Score
1184
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | ririsid |
| Upload Date | August 31 2024 10:19 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 5700 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
532
99.0 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
99% |
505
94.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (Q)
|
100% |
260
4.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
3765
4.39 IPS |
|
|
Pose Estimation (HP)
|
99% |
6738
7.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
1590
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
94% |
152
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (Q)
|
100% |
246
2.92 IPS |
|
|
Depth Estimation (SP)
|
94% |
19399
150.2 IPS |
|
|
Depth Estimation (HP)
|
94% |
20010
155.0 IPS |
|
|
Depth Estimation (Q)
|
95% |
20232
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59072
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
61367
78.9 IPS |
|
|
Style Transfer (Q)
|
100% |
61683
79.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7396
273.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10815
399.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10163
376.5 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.9 IPS |
|
|
Text Classification (HP)
|
100% |
152
202.5 IPS |
|
|
Text Classification (Q)
|
93% |
236
316.5 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.64 IPS |
|
|
Machine Translation (HP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (Q)
|
98% |
232
4.00 IPS |
