Mac mini (2023)
Geekbench AI Score
4000
Single Precision Score
6701
Half Precision Score
5378
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 01 2026 12:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.38 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2197
408.6 IPS |
|
|
Image Classification (Q)
|
96% |
1607
300.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2788
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11724
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26437
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
20397
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2617
208.4 IPS |
|
|
Object Detection (Q)
|
94% |
1956
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
3606
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
5904
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3386
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6109
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11576
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7887
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24931
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39262
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31279
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6219
229.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4450
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4013
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4247
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7581
131.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7630
131.9 IPS |
