Mac mini (Late 2018)
Geekbench AI Score
872
Single Precision Score
703
Half Precision Score
572
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 10:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.3 IPS |
|
|
Image Classification (Q)
|
99% |
309
57.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
421
6.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (Q)
|
100% |
287
4.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2539
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2031
2.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
1578
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
352
28.0 IPS |
|
|
Object Detection (Q)
|
92% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (Q)
|
100% |
329
3.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
1354
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1073
8.27 IPS |
|
|
Depth Estimation (Q)
|
97% |
975
7.54 IPS |
|
|
Style Transfer (SP)
|
100% |
3673
4.72 IPS |
|
|
Style Transfer (HP)
|
100% |
3475
4.47 IPS |
|
|
Style Transfer (Q)
|
100% |
3534
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1523
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
407
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
475
634.4 IPS |
|
|
Text Classification (HP)
|
100% |
461
615.2 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.5 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
98% |
593
10.3 IPS |
