Mac mini (Late 2020)
Geekbench AI Score
3199
Single Precision Score
15085
Half Precision Score
15353
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | vanboquestaels |
| Upload Date | February 20 2025 09:15 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
6401
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6677
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8388
136.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
8397
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6518
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
67881
79.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
64873
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7185
571.5 IPS |
|
|
Object Detection (Q)
|
91% |
6811
544.2 IPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
13081
155.4 IPS |
|
|
Face Detection (Q)
|
100% |
14117
167.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5776
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43987
338.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
47129
364.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16667
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118903
152.9 IPS |
|
|
Style Transfer (Q)
|
100% |
124209
159.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23872
881.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24097
892.8 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3968
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3719
64.3 IPS |
