Mac mini (Late 2018)
Geekbench AI Score
783
Single Precision Score
645
Half Precision Score
462
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Merlin12 |
| Upload Date | September 10 2024 09:15 AM |
| Views | 6 |
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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
349
64.8 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.6 IPS |
|
|
Image Classification (Q)
|
96% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2335
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1779
2.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
1425
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
92% |
196
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (HP)
|
100% |
717
8.51 IPS |
|
|
Face Detection (Q)
|
100% |
318
3.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
1261
9.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.68 IPS |
|
|
Depth Estimation (Q)
|
86% |
650
5.08 IPS |
|
|
Style Transfer (SP)
|
100% |
3179
4.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3039
3.91 IPS |
|
|
Style Transfer (Q)
|
96% |
2325
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
372
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.8 IPS |
|
|
Text Classification (HP)
|
100% |
442
589.4 IPS |
|
|
Text Classification (Q)
|
93% |
440
589.9 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (Q)
|
98% |
517
8.94 IPS |
