Mac mini (2023)
Geekbench AI Score
3254
Single Precision Score
26328
Half Precision Score
28889
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GeroGuitarrero |
| Upload Date | October 27 2025 03:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
14935
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
15796
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19866
322.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24335
394.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6299
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
105969
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106938
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.2 IPS |
|
|
Object Detection (HP)
|
99% |
16482
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
16123
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
30117
357.9 IPS |
|
|
Face Detection (Q)
|
100% |
38229
454.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5187
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
80517
620.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
101414
792.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17121
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
191018
245.6 IPS |
|
|
Style Transfer (Q)
|
96% |
196521
253.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3708
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41295
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48291
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3910
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4129
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4251
73.5 IPS |
