Mac mini (2023)
Geekbench AI Score
7576
Single Precision Score
8408
Half Precision Score
7915
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 10:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3671
682.8 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.6 IPS |
|
|
Image Classification (Q)
|
96% |
3427
640.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5717
92.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5852
94.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5609
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24436
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26710
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25902
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3622
287.3 IPS |
|
|
Object Detection (HP)
|
100% |
3401
269.7 IPS |
|
|
Object Detection (Q)
|
92% |
3440
274.6 IPS |
|
|
Face Detection (SP)
|
100% |
10356
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
11901
141.4 IPS |
|
|
Face Detection (Q)
|
100% |
9924
117.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16642
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18140
139.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16469
128.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42078
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49129
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47729
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9896
365.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10343
381.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8855
327.0 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3817
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3810
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2029
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2143
37.0 IPS |
