Arcanum (MacBook Air M3) Mac15,12
Geekbench AI Score
4108
Single Precision Score
7003
Half Precision Score
5666
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zedwarth |
| Upload Date | March 08 2025 10:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1561
290.4 IPS |
|
|
Image Classification (HP)
|
100% |
2938
546.5 IPS |
|
|
Image Classification (Q)
|
96% |
2080
388.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8449
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
17267
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14985
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
3262
259.7 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6613
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3913
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7116
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13530
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9378
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22310
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34074
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28411
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5246
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6162
227.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4448
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5154
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5827
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5815
100.5 IPS |
