Mac mini (2023)
Geekbench AI Score
4333
Single Precision Score
7231
Half Precision Score
5794
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ADK |
| Upload Date | April 20 2026 02:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.6 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2496
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2864
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11710
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26268
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
20209
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
97% |
2708
215.6 IPS |
|
|
Object Detection (Q)
|
94% |
1988
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6033
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3442
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6086
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11631
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8151
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25336
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41298
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32505
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4908
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4410
162.8 IPS |
|
|
Text Classification (SP)
|
99% |
4603
6.14 KIPS |
|
|
Text Classification (HP)
|
99% |
7110
9.49 KIPS |
|
|
Text Classification (Q)
|
93% |
7066
9.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4301
74.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7823
135.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7829
135.3 IPS |
