Mac mini (2023)
Geekbench AI Score
3471
Single Precision Score
27134
Half Precision Score
30186
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | macbookjoe |
| Upload Date | September 15 2025 07:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
15392
2.86 KIPS |
|
|
Image Classification (Q)
|
96% |
15480
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19707
319.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24284
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6825
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
106249
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105232
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (HP)
|
99% |
15911
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
18081
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
33263
395.2 IPS |
|
|
Face Detection (Q)
|
100% |
42737
507.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87839
676.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112080
875.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18706
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204887
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
196786
253.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4072
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40452
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52144
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4479
77.4 IPS |
