Mac mini (2023)
Geekbench AI Score
4142
Single Precision Score
6945
Half Precision Score
5548
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 02:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.2 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2575
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2912
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11934
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26695
31.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
20544
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
97% |
2752
219.1 IPS |
|
|
Object Detection (Q)
|
94% |
2030
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
3623
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6230
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11869
91.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8231
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25610
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40790
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32176
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5030
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6388
235.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4572
168.8 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7779
134.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7778
134.4 IPS |
