Mac mini (2023)
Geekbench AI Score
3504
Single Precision Score
26728
Half Precision Score
29453
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | JoaoSchlemm |
| Upload Date | March 19 2025 11:56 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
15311
2.85 KIPS |
|
|
Image Classification (Q)
|
96% |
15443
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19380
314.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23881
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6919
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
105792
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105714
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
99% |
16052
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17953
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
31080
369.3 IPS |
|
|
Face Detection (Q)
|
100% |
38808
461.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
88742
683.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112387
878.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18862
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204396
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193389
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4149
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40454
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49797
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3804
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4233
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4393
75.9 IPS |
