Mac mini (2023)
Geekbench AI Score
7627
Single Precision Score
8588
Half Precision Score
7966
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mkdalmond |
| Upload Date | June 24 2025 07:01 AM |
| Views | 6 |
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% |
3686
685.4 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.1 IPS |
|
|
Image Classification (Q)
|
96% |
3431
640.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5720
92.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5875
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5630
91.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24690
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26780
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26133
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3638
288.5 IPS |
|
|
Object Detection (HP)
|
100% |
3775
299.4 IPS |
|
|
Object Detection (Q)
|
92% |
3420
273.0 IPS |
|
|
Face Detection (SP)
|
100% |
10381
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
12110
143.9 IPS |
|
|
Face Detection (Q)
|
100% |
9846
117.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16785
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18163
139.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16514
129.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42635
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49309
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47699
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9946
367.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10329
381.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9167
338.5 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3911
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2039
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2145
37.1 IPS |
