Mac mini (2023)
Geekbench AI Score
4081
Single Precision Score
27039
Half Precision Score
30148
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 01 2026 12:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
14261
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
16995
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20149
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25034
405.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11981
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106070
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105242
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.1 IPS |
|
|
Object Detection (HP)
|
99% |
15192
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16928
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
36100
428.9 IPS |
|
|
Face Detection (Q)
|
100% |
46484
552.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6135
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
88481
681.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
109104
852.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25672
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203294
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189511
244.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4970
183.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42998
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49789
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4235
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4312
74.5 IPS |
