Mac mini (2023)
Geekbench AI Score
9206
Single Precision Score
10136
Half Precision Score
8865
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mkennedy |
| Upload Date | February 21 2025 05:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4934
917.6 IPS |
|
|
Image Classification (HP)
|
100% |
5196
966.2 IPS |
|
|
Image Classification (Q)
|
97% |
4245
792.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7108
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7199
116.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7028
113.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
35893
41.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
38374
44.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
35180
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
4597
364.6 IPS |
|
|
Object Detection (HP)
|
100% |
4804
381.1 IPS |
|
|
Object Detection (Q)
|
91% |
4048
323.4 IPS |
|
|
Face Detection (SP)
|
100% |
16310
193.8 IPS |
|
|
Face Detection (HP)
|
100% |
17182
204.2 IPS |
|
|
Face Detection (Q)
|
100% |
11906
141.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23374
180.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24310
187.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
20177
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
66732
85.8 IPS |
|
|
Style Transfer (HP)
|
100% |
73019
93.9 IPS |
|
|
Style Transfer (Q)
|
96% |
67747
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12940
477.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13716
506.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10787
398.3 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4071
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
