Mac mini (2023)
Geekbench AI Score
4077
Single Precision Score
27762
Half Precision Score
30792
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | YanYunsy |
| Upload Date | October 20 2025 01:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
15272
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
18343
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20300
329.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24655
399.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11796
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106736
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104720
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1636
129.7 IPS |
|
|
Object Detection (HP)
|
99% |
15573
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17314
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
36748
436.6 IPS |
|
|
Face Detection (Q)
|
100% |
46781
555.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6047
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87933
677.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109926
859.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25528
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
206236
265.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193433
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4958
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44381
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51266
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2501
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4228
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4313
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4221
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4392
75.9 IPS |
