Mac mini (2023)
Geekbench AI Score
3228
Single Precision Score
4857
Half Precision Score
4160
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | evodomgeek |
| Upload Date | February 23 2025 02:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1519
282.4 IPS |
|
|
Image Classification (HP)
|
100% |
1941
361.0 IPS |
|
|
Image Classification (Q)
|
96% |
1455
271.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1868
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6142
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
14725
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12816
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.1 IPS |
|
|
Object Detection (HP)
|
97% |
2319
184.7 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2923
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
2958
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5463
42.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8805
68.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6644
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17429
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27320
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22954
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4944
182.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3701
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3319
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3288
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3013
51.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4618
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4577
79.1 IPS |
