Mac mini (2023)
Geekbench AI Score
3389
Single Precision Score
26737
Half Precision Score
29659
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
14607
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15409
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19378
314.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23857
386.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6738
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
106131
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106462
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
15894
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17996
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
33244
395.0 IPS |
|
|
Face Detection (Q)
|
100% |
42088
500.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5449
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87643
675.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110118
860.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18175
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203297
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
196708
253.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4001
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41884
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50680
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3854
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4074
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4200
72.6 IPS |
