ARCTURUS Mac mini (2023)
Geekbench AI Score
3170
Single Precision Score
4704
Half Precision Score
3899
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | neutrino06 |
| Upload Date | August 19 2024 11:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1471
273.6 IPS |
|
|
Image Classification (HP)
|
100% |
1871
348.0 IPS |
|
|
Image Classification (Q)
|
99% |
1864
347.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1287
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6032
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14368
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12297
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2228
177.4 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2789
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4373
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
2853
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5282
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8594
66.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4258
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16995
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26717
34.3 IPS |
|
|
Style Transfer (Q)
|
100% |
26656
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3592
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3524
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3141
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2860
49.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4507
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4486
77.5 IPS |
