Mac mini (2023)
Geekbench AI Score
3511
Single Precision Score
26992
Half Precision Score
30001
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | aboraged307 |
| Upload Date | March 28 2025 09:37 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
15330
2.85 KIPS |
|
|
Image Classification (Q)
|
96% |
16756
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19569
317.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23765
385.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6912
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
105847
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105696
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
15790
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17797
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
33437
397.3 IPS |
|
|
Face Detection (Q)
|
100% |
42765
508.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5857
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88559
682.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111532
871.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18820
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204872
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
193991
250.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41791
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50477
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3832
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4207
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4407
76.2 IPS |
