Mac mini (2023) - 26.0.1 Mac mini (2023)
Geekbench AI Score
10138
Single Precision Score
11184
Half Precision Score
10596
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MacXe4ro |
| Upload Date | October 03 2025 01:10 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5350
995.0 IPS |
|
|
Image Classification (HP)
|
100% |
5410
1.01 KIPS |
|
|
Image Classification (Q)
|
96% |
4885
912.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8393
136.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8336
135.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7891
127.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
36963
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
40635
47.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
39223
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
4857
385.2 IPS |
|
|
Object Detection (HP)
|
100% |
4910
389.4 IPS |
|
|
Object Detection (Q)
|
92% |
4614
368.3 IPS |
|
|
Face Detection (SP)
|
100% |
16783
199.4 IPS |
|
|
Face Detection (HP)
|
100% |
17644
209.6 IPS |
|
|
Face Detection (Q)
|
100% |
15159
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24534
189.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25547
196.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
23472
183.3 IPS |
|
|
Style Transfer (SP)
|
100% |
68649
88.2 IPS |
|
|
Style Transfer (HP)
|
100% |
75599
97.2 IPS |
|
|
Style Transfer (Q)
|
96% |
74236
95.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13344
492.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14565
537.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12454
459.9 IPS |
|
|
Text Classification (SP)
|
100% |
2512
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4087
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4089
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1903
32.9 IPS |
