Mac mini (2023)
Geekbench AI Score
3501
Single Precision Score
28619
Half Precision Score
32310
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | cwebb15 |
| Upload Date | April 07 2026 10:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
15393
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
16344
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19819
321.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24921
404.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6187
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
107120
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106550
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
15972
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17697
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
35411
420.8 IPS |
|
|
Face Detection (Q)
|
100% |
48048
570.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5352
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
88853
684.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
112591
880.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18016
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
207114
266.2 IPS |
|
|
Style Transfer (Q)
|
96% |
194610
251.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38103
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52153
1.93 KIPS |
|
|
Text Classification (SP)
|
99% |
4260
5.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6634
8.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6610
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4288
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4449
76.9 IPS |
