Mac mini (2023)
Geekbench AI Score
4112
Single Precision Score
6944
Half Precision Score
5533
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | schoolveer |
| Upload Date | April 03 2026 09:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1372
255.1 IPS |
|
|
Image Classification (HP)
|
100% |
2268
421.7 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2906
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11947
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26484
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20466
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.4 IPS |
|
|
Object Detection (HP)
|
97% |
2742
218.3 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6059
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3428
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6077
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11766
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8243
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25616
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40394
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32145
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5017
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6634
244.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4593
169.6 IPS |
|
|
Text Classification (SP)
|
100% |
2476
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4111
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4081
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4413
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7852
135.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7807
134.9 IPS |
