Mac mini (Late 2018)
Geekbench AI Score
2027
Single Precision Score
2204
Half Precision Score
1176
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | kdw4gb |
| Upload Date | November 22 2024 07:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6600 XT |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
558
103.8 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (Q)
|
96% |
142
26.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
189
3.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
3694
4.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
6637
7.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
1830
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
94% |
129
10.3 IPS |
|
|
Face Detection (SP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1571
18.7 IPS |
|
|
Face Detection (Q)
|
100% |
255
3.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
19674
151.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24060
185.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
21952
171.5 IPS |
|
|
Style Transfer (SP)
|
100% |
66403
85.4 IPS |
|
|
Style Transfer (HP)
|
100% |
69305
89.1 IPS |
|
|
Style Transfer (Q)
|
96% |
84609
109.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8567
316.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12781
471.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12280
453.5 IPS |
|
|
Text Classification (SP)
|
100% |
481
642.5 IPS |
|
|
Text Classification (HP)
|
100% |
478
638.0 IPS |
|
|
Text Classification (Q)
|
93% |
414
555.0 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (Q)
|
98% |
332
5.74 IPS |
