Mac mini (Late 2018)
Geekbench AI Score
892
Single Precision Score
742
Half Precision Score
586
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AVX2
Result Information
| Upload Date | August 11 2024 08:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
415
77.1 IPS |
|
|
Image Classification (HP)
|
100% |
304
56.6 IPS |
|
|
Image Classification (Q)
|
99% |
302
56.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
100% |
284
4.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2935
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1937
2.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
1530
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
92% |
209
16.7 IPS |
|
|
Face Detection (SP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.74 IPS |
|
|
Face Detection (Q)
|
100% |
326
3.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
1332
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1052
8.10 IPS |
|
|
Depth Estimation (Q)
|
97% |
1111
8.59 IPS |
|
|
Style Transfer (SP)
|
100% |
4259
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3670
4.72 IPS |
|
|
Style Transfer (Q)
|
100% |
3697
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
536
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
470
627.7 IPS |
|
|
Text Classification (HP)
|
100% |
460
614.0 IPS |
|
|
Text Classification (Q)
|
93% |
456
612.4 IPS |
|
|
Machine Translation (SP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (Q)
|
98% |
540
9.34 IPS |
