ARCTURUS Mac mini (2023)
Geekbench AI Score
7280
Single Precision Score
7995
Half Precision Score
7470
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | neutrino06 |
| Upload Date | September 11 2025 06:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 1.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3629
674.8 IPS |
|
|
Image Classification (HP)
|
100% |
3622
673.6 IPS |
|
|
Image Classification (Q)
|
96% |
3390
633.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5654
91.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5294
85.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5537
89.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24611
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26730
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24778
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
3684
292.2 IPS |
|
|
Object Detection (HP)
|
100% |
3598
285.4 IPS |
|
|
Object Detection (Q)
|
92% |
3366
268.6 IPS |
|
|
Face Detection (SP)
|
100% |
9372
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
11599
137.8 IPS |
|
|
Face Detection (Q)
|
100% |
9415
111.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17064
131.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17982
138.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16112
125.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42431
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48314
62.1 IPS |
|
|
Style Transfer (Q)
|
96% |
47684
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10129
374.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10682
394.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9183
339.1 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2485
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2095
36.2 IPS |
