Mac mini (2023)
Geekbench AI Score
2678
Single Precision Score
23547
Half Precision Score
26206
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | October 08 2025 02:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1037
192.9 IPS |
|
|
Image Classification (HP)
|
100% |
12843
2.39 KIPS |
|
|
Image Classification (Q)
|
96% |
14366
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17321
280.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21604
350.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5063
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
92719
108.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
93274
109.3 IPS |
|
|
Object Detection (SP)
|
100% |
1156
91.7 IPS |
|
|
Object Detection (HP)
|
99% |
14310
1.14 KIPS |
|
|
Object Detection (Q)
|
91% |
15506
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
2431
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
29671
352.6 IPS |
|
|
Face Detection (Q)
|
100% |
37779
448.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4528
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
76886
592.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
96891
757.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13889
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
180242
231.7 IPS |
|
|
Style Transfer (Q)
|
96% |
173588
224.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3104
114.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37630
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45395
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3371
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3348
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3405
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3525
60.9 IPS |
