Mac mini (2023)
Geekbench AI Score
8479
Single Precision Score
9497
Half Precision Score
8789
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | cwebb15 |
| Upload Date | April 07 2026 10:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
3796
706.0 IPS |
|
|
Image Classification (HP)
|
100% |
3787
704.2 IPS |
|
|
Image Classification (Q)
|
94% |
3516
657.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5787
93.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5985
97.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5679
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24728
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26940
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
26060
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (HP)
|
100% |
3770
299.0 IPS |
|
|
Object Detection (Q)
|
91% |
3664
292.8 IPS |
|
|
Face Detection (SP)
|
100% |
10809
128.4 IPS |
|
|
Face Detection (HP)
|
100% |
12702
150.9 IPS |
|
|
Face Detection (Q)
|
100% |
11500
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16964
130.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18305
141.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17267
135.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42806
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49565
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47892
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9644
356.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10289
379.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9117
336.6 IPS |
|
|
Text Classification (SP)
|
100% |
4356
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
6812
9.09 KIPS |
|
|
Text Classification (Q)
|
92% |
6726
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2474
42.8 IPS |
