Mac mini (Late 2020)
Geekbench AI Score
2984
Single Precision Score
15571
Half Precision Score
15486
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jonathanmiranda |
| Upload Date | April 09 2025 03:27 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac mini (Late 2020) |
| Model ID | Macmini9,1 |
| Motherboard | Macmini9,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.16 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
6172
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5850
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9434
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9822
159.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6118
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
67398
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65635
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
99% |
7277
578.9 IPS |
|
|
Object Detection (Q)
|
91% |
6672
533.1 IPS |
|
|
Face Detection (SP)
|
100% |
2672
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
16267
193.3 IPS |
|
|
Face Detection (Q)
|
100% |
15215
180.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5332
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48434
373.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
49636
387.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15458
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119463
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115151
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3440
127.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23761
877.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24621
909.2 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3952
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3727
64.4 IPS |
