Mac mini (2023)
Geekbench AI Score
3337
Single Precision Score
26166
Half Precision Score
28901
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | k3ihan |
| Upload Date | March 27 2026 09:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
15008
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
16072
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19736
319.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24090
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6364
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
105211
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105722
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.6 IPS |
|
|
Object Detection (HP)
|
99% |
15898
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
18034
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
34349
408.1 IPS |
|
|
Face Detection (Q)
|
100% |
43828
520.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5455
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87372
673.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110427
862.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18259
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205050
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
196450
253.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37634
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43343
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3643
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3425
59.2 IPS |
