Air M3 Mac15,12
Geekbench AI Score
4028
Single Precision Score
7131
Half Precision Score
5772
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | churanov |
| Upload Date | December 03 2025 10:27 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.8 IPS |
|
|
Image Classification (Q)
|
96% |
2088
390.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2930
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3244
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8385
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17516
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15090
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (HP)
|
97% |
3233
257.4 IPS |
|
|
Object Detection (Q)
|
94% |
2359
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3498
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6819
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3997
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7066
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12850
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9042
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21969
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33856
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28113
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6141
226.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5613
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3268
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6757
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6760
116.8 IPS |
