Mac mini (2023)
Geekbench AI Score
3460
Single Precision Score
26925
Half Precision Score
30023
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mkdalmond |
| Upload Date | June 24 2025 07:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
14863
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
16221
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19725
319.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24124
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6838
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
101027
117.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106866
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
15740
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17749
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33741
400.9 IPS |
|
|
Face Detection (Q)
|
100% |
42787
508.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5585
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88209
679.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
112047
875.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18718
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206108
265.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194794
251.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40674
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49007
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3849
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4552
78.7 IPS |
