Mac mini (2023)
Geekbench AI Score
3521
Single Precision Score
26750
Half Precision Score
29631
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ChrisSack |
| Upload Date | January 25 2025 09:25 PM |
| Views | 16 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1418
263.7 IPS |
|
|
Image Classification (HP)
|
100% |
15241
2.83 KIPS |
|
|
Image Classification (Q)
|
96% |
16004
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19377
314.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23934
388.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6920
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
106027
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105445
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
99% |
15795
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17749
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
33671
400.1 IPS |
|
|
Face Detection (Q)
|
100% |
42913
509.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5834
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87148
671.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111835
873.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18832
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204498
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193484
249.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4166
153.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40908
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49403
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3761
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3793
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4110
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4183
72.3 IPS |
