Mac mini (2023)
Geekbench AI Score
3205
Single Precision Score
4757
Half Precision Score
3948
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:40 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1508
280.4 IPS |
|
|
Image Classification (HP)
|
100% |
1926
358.1 IPS |
|
|
Image Classification (Q)
|
99% |
1936
361.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1303
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6033
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14497
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12357
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
97% |
2282
181.6 IPS |
|
|
Object Detection (Q)
|
94% |
1755
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
2817
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4425
52.6 IPS |
|
|
Face Detection (Q)
|
100% |
2879
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5294
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8671
67.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4298
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17032
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26881
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26861
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3592
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3497
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3146
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4620
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4599
79.5 IPS |
