Mac mini (2023)
Geekbench AI Score
4150
Single Precision Score
27282
Half Precision Score
30451
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 12:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
14658
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
17308
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20153
326.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24936
404.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12663
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
107309
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106267
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
99% |
15404
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17632
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
36520
433.9 IPS |
|
|
Face Detection (Q)
|
100% |
47185
560.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6169
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88372
680.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
110944
867.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25747
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
207113
266.2 IPS |
|
|
Style Transfer (Q)
|
96% |
191721
247.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43938
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50885
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4031
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4496
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4119
71.2 IPS |
