Mac mini (2023)
Geekbench AI Score
6719
Single Precision Score
7593
Half Precision Score
6677
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sw0000 |
| Upload Date | January 27 2025 06:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3690
686.3 IPS |
|
|
Image Classification (HP)
|
100% |
3653
679.3 IPS |
|
|
Image Classification (Q)
|
97% |
3013
562.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3926
63.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4984
80.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5080
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24220
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26234
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24376
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3488
276.6 IPS |
|
|
Object Detection (HP)
|
100% |
3703
293.7 IPS |
|
|
Object Detection (Q)
|
91% |
3066
245.0 IPS |
|
|
Face Detection (SP)
|
100% |
10196
121.2 IPS |
|
|
Face Detection (HP)
|
100% |
11895
141.3 IPS |
|
|
Face Detection (Q)
|
100% |
8320
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16416
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17844
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14859
116.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42631
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48526
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45349
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9797
361.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10029
370.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7994
295.2 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3719
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
924
16.0 IPS |
