Mac mini (2023)
Geekbench AI Score
3504
Single Precision Score
6025
Half Precision Score
4916
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | JoaoSchlemm |
| Upload Date | March 19 2025 11:39 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
2541
472.5 IPS |
|
|
Image Classification (Q)
|
96% |
1779
332.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2886
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6901
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
15028
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13035
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2107
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6185
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3591
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11880
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8261
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18835
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28691
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24045
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4147
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3667
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3833
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5782
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5836
100.8 IPS |
