Mac mini (Late 2018)
Geekbench AI Score
643
Single Precision Score
522
Half Precision Score
382
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | kdm |
| Upload Date | November 02 2024 10:25 PM |
| Views | 13 |
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% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
96% |
143
26.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
99% |
198
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1969
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1436
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1115
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (Q)
|
92% |
164
13.1 IPS |
|
|
Face Detection (SP)
|
100% |
700
8.32 IPS |
|
|
Face Detection (HP)
|
100% |
612
7.27 IPS |
|
|
Face Detection (Q)
|
100% |
274
3.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
986
7.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
805
6.20 IPS |
|
|
Depth Estimation (Q)
|
86% |
547
4.27 IPS |
|
|
Style Transfer (SP)
|
100% |
2558
3.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2272
2.92 IPS |
|
|
Style Transfer (Q)
|
96% |
1894
2.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
287
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
376
502.1 IPS |
|
|
Text Classification (HP)
|
100% |
363
485.2 IPS |
|
|
Text Classification (Q)
|
93% |
368
494.3 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (Q)
|
98% |
429
7.42 IPS |
