Mac mini (2023)
Geekbench AI Score
7618
Single Precision Score
8543
Half Precision Score
7944
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | pesu |
| Upload Date | January 03 2026 09:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
3692
686.6 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.0 IPS |
|
|
Image Classification (Q)
|
96% |
3450
644.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5710
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5882
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5625
91.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24669
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26742
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26149
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3659
290.3 IPS |
|
|
Object Detection (HP)
|
100% |
3761
298.3 IPS |
|
|
Object Detection (Q)
|
92% |
3411
272.3 IPS |
|
|
Face Detection (SP)
|
100% |
10287
122.2 IPS |
|
|
Face Detection (HP)
|
100% |
12154
144.4 IPS |
|
|
Face Detection (Q)
|
100% |
10053
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16829
129.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18161
139.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16677
130.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42545
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49480
63.6 IPS |
|
|
Style Transfer (Q)
|
96% |
47808
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9887
365.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10361
382.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8883
328.0 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3824
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3800
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2184
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2139
37.0 IPS |
