Mac mini (2023)
Geekbench AI Score
3494
Single Precision Score
26923
Half Precision Score
30071
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | April 01 2025 12:39 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% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
15030
2.80 KIPS |
|
|
Image Classification (Q)
|
96% |
15553
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19419
314.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24342
394.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6894
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
106325
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105354
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.1 IPS |
|
|
Object Detection (HP)
|
99% |
15887
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
18098
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
33428
397.2 IPS |
|
|
Face Detection (Q)
|
100% |
43685
519.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5708
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88041
678.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111684
872.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18822
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205166
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
197678
255.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42594
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52724
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3764
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3598
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4197
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4377
75.6 IPS |
