Mac mini (2023)
Geekbench AI Score
3456
Single Precision Score
26616
Half Precision Score
29615
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sw0000 |
| Upload Date | January 27 2025 06:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
15192
2.83 KIPS |
|
|
Image Classification (Q)
|
96% |
15450
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19246
312.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23823
386.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6871
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
106849
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105914
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
15604
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17938
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33504
398.1 IPS |
|
|
Face Detection (Q)
|
100% |
42216
501.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5703
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87615
675.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111234
869.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18746
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203451
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
195064
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4101
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40391
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51409
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3733
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4052
69.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4223
73.0 IPS |
