Mac15,12
Geekbench AI Score
4013
Single Precision Score
7061
Half Precision Score
5720
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | January 23 2026 10:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1528
284.1 IPS |
|
|
Image Classification (HP)
|
100% |
2966
551.5 IPS |
|
|
Image Classification (Q)
|
96% |
2071
386.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3217
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8392
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17524
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15092
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
3210
255.5 IPS |
|
|
Object Detection (Q)
|
94% |
2336
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3981
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7067
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12819
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9055
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21966
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33835
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28100
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4992
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5307
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5285
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6686
115.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6679
115.4 IPS |
