Mac mini (2023)
Geekbench AI Score
4168
Single Precision Score
27006
Half Precision Score
30037
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | AlexSwitch |
| Upload Date | March 11 2025 02:49 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
15087
2.81 KIPS |
|
|
Image Classification (Q)
|
96% |
17019
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19436
315.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24592
398.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12601
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
106412
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104226
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
99% |
15045
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16797
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
35134
417.5 IPS |
|
|
Face Detection (Q)
|
100% |
45492
540.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6428
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87718
675.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109133
852.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25075
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205481
264.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193114
249.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5112
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41297
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48635
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4472
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4210
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4422
76.4 IPS |
