Mac mini (2023)
Geekbench AI Score
3368
Single Precision Score
27071
Half Precision Score
30207
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | May 17 2025 02:19 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
14919
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
16135
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1397
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19387
314.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23417
379.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6739
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
106290
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105974
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
15962
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
18259
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
33745
401.0 IPS |
|
|
Face Detection (Q)
|
100% |
42726
507.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88320
680.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111794
873.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18601
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205867
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
196573
253.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41483
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52716
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4305
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4458
77.0 IPS |
