Mac mini (2023)
Geekbench AI Score
2219
Single Precision Score
3767
Half Precision Score
3012
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jankkhvej |
| Upload Date | May 12 2025 08:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 1.96 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
158.4 IPS |
|
|
Image Classification (HP)
|
100% |
1506
280.0 IPS |
|
|
Image Classification (Q)
|
96% |
1042
194.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1672
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4328
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
9496
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8087
9.48 IPS |
|
|
Object Detection (SP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (HP)
|
97% |
1749
139.2 IPS |
|
|
Object Detection (Q)
|
94% |
1240
98.9 IPS |
|
|
Face Detection (SP)
|
100% |
2103
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
2078
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3446
26.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6828
52.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4803
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11404
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17920
23.0 IPS |
|
|
Style Transfer (Q)
|
96% |
14737
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2610
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3204
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2316
85.5 IPS |
|
|
Text Classification (SP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2418
41.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4178
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4130
71.4 IPS |
