Mac mini (2023)
Geekbench AI Score
6885
Single Precision Score
7673
Half Precision Score
6792
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 11:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3696
687.4 IPS |
|
|
Image Classification (HP)
|
100% |
3707
689.3 IPS |
|
|
Image Classification (Q)
|
97% |
3061
571.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4031
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5009
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5107
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24660
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26383
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24571
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3736
296.3 IPS |
|
|
Object Detection (HP)
|
100% |
3784
300.1 IPS |
|
|
Object Detection (Q)
|
91% |
3097
247.5 IPS |
|
|
Face Detection (SP)
|
100% |
10398
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
11977
142.3 IPS |
|
|
Face Detection (Q)
|
100% |
8417
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16738
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18551
142.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14864
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42716
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48698
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
45508
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10364
382.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10199
376.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8055
297.4 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3767
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
