ARCTURUS Mac mini (2023)
Geekbench AI Score
2183
Single Precision Score
19101
Half Precision Score
20682
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | neutrino06 |
| Upload Date | September 11 2025 06:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
852
158.5 IPS |
|
|
Image Classification (HP)
|
100% |
11683
2.17 KIPS |
|
|
Image Classification (Q)
|
96% |
12799
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14380
233.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17894
290.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4079
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
69053
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67481
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (HP)
|
99% |
12273
976.3 IPS |
|
|
Object Detection (Q)
|
91% |
12655
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
22326
265.3 IPS |
|
|
Face Detection (Q)
|
100% |
26708
317.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3459
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
62616
482.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
75965
593.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11244
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
140602
180.7 IPS |
|
|
Style Transfer (Q)
|
96% |
134517
173.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2552
94.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31536
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35671
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
1517
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2413
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2383
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3020
52.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3117
53.9 IPS |
