Mac mini (2023)
Geekbench AI Score
12644
Single Precision Score
13827
Half Precision Score
11923
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | schoolveer |
| Upload Date | April 03 2026 09:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5451
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5700
1.06 KIPS |
|
|
Image Classification (Q)
|
94% |
5410
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9478
153.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9463
153.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8951
145.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
44889
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49069
57.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
47420
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
5059
401.3 IPS |
|
|
Object Detection (HP)
|
100% |
5106
405.0 IPS |
|
|
Object Detection (Q)
|
91% |
4777
381.8 IPS |
|
|
Face Detection (SP)
|
100% |
19167
227.7 IPS |
|
|
Face Detection (HP)
|
100% |
20529
243.9 IPS |
|
|
Face Detection (Q)
|
100% |
18837
223.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26104
201.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27046
208.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
25367
198.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79519
102.2 IPS |
|
|
Style Transfer (HP)
|
100% |
87067
111.9 IPS |
|
|
Style Transfer (Q)
|
96% |
84915
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17668
652.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18900
697.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16246
599.9 IPS |
|
|
Text Classification (SP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4212
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4257
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4914
84.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1887
32.6 IPS |
