Mac mini (2023)
Geekbench AI Score
2175
Single Precision Score
12077
Half Precision Score
12811
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Zuluman |
| Upload Date | August 16 2024 11:38 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1159
215.6 IPS |
|
|
Image Classification (HP)
|
100% |
7469
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
8116
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5132
83.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5095
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5988
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
88124
102.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
87108
102.2 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
99% |
8636
687.0 IPS |
|
|
Object Detection (Q)
|
93% |
9030
720.5 IPS |
|
|
Face Detection (SP)
|
100% |
2175
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
11366
135.1 IPS |
|
|
Face Detection (Q)
|
100% |
13000
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3787
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47758
367.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
52338
404.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10716
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
139130
178.9 IPS |
|
|
Style Transfer (Q)
|
100% |
139619
179.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3140
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19858
733.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25937
960.9 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
600
800.9 IPS |
|
|
Text Classification (Q)
|
93% |
596
799.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1675
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2515
43.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2494
43.1 IPS |
