Mac mini (2023)
Geekbench AI Score
3476
Single Precision Score
5981
Half Precision Score
4881
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | September 17 2024 09:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
2538
472.0 IPS |
|
|
Image Classification (Q)
|
96% |
1776
331.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2889
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6910
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14993
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13039
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2916
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2099
167.3 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6052
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3585
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5757
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11850
91.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8234
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18822
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28676
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24050
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4143
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4831
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3616
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3718
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5762
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5738
99.2 IPS |
