Mac15,12
Geekbench AI Score
4019
Single Precision Score
7122
Half Precision Score
5747
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 10:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.6 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.6 IPS |
|
|
Image Classification (Q)
|
96% |
2079
388.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3242
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8326
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
17516
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15089
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3244
258.3 IPS |
|
|
Object Detection (Q)
|
94% |
2333
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7067
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12806
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9048
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21926
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33785
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28070
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4911
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6144
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4469
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5653
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6721
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6535
112.9 IPS |
