Mac mini (2023)
Geekbench AI Score
7729
Single Precision Score
8730
Half Precision Score
8137
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GeroGuitarrero |
| Upload Date | October 27 2025 03:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
3969
738.1 IPS |
|
|
Image Classification (HP)
|
100% |
3990
742.0 IPS |
|
|
Image Classification (Q)
|
96% |
3649
681.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5844
94.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6081
98.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5801
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24654
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26886
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
25894
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3779
299.8 IPS |
|
|
Object Detection (HP)
|
100% |
3759
298.1 IPS |
|
|
Object Detection (Q)
|
92% |
3578
285.6 IPS |
|
|
Face Detection (SP)
|
100% |
10264
122.0 IPS |
|
|
Face Detection (HP)
|
100% |
12208
145.1 IPS |
|
|
Face Detection (Q)
|
100% |
10066
119.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16577
127.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18602
143.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
16838
131.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42264
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49271
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
48071
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9937
366.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10313
380.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9393
346.9 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3841
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2103
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2208
38.2 IPS |
