Mac mini (Late 2020)
Geekbench AI Score
3238
Single Precision Score
15399
Half Precision Score
15129
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jeanantogul |
| Upload Date | December 19 2024 09:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
6068
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5735
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9656
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9941
161.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6551
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
68252
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66642
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7011
557.7 IPS |
|
|
Object Detection (Q)
|
91% |
6473
517.2 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
15667
186.2 IPS |
|
|
Face Detection (Q)
|
100% |
14408
171.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47285
364.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47745
373.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16722
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120904
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114889
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23778
878.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24440
902.4 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3381
58.4 IPS |
