Mac mini (2023)
Geekbench AI Score
3450
Single Precision Score
27174
Half Precision Score
30047
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jacklicf |
| Upload Date | May 22 2025 02:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
15354
2.86 KIPS |
|
|
Image Classification (Q)
|
96% |
16276
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19683
319.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24181
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6816
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
105936
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
107009
125.4 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
99% |
15854
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
18096
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3009
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
33803
401.6 IPS |
|
|
Face Detection (Q)
|
100% |
38982
463.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5528
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87727
675.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
112356
878.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18670
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
207258
266.4 IPS |
|
|
Style Transfer (Q)
|
96% |
197008
254.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41166
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50766
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4484
77.5 IPS |
