Mac15,12
Geekbench AI Score
4013
Single Precision Score
29937
Half Precision Score
33563
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | November 28 2025 03:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
1506
280.0 IPS |
|
|
Image Classification (HP)
|
100% |
15264
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
18756
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21469
348.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26797
434.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8372
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
121186
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
119575
140.1 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
17193
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
20501
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3471
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
39578
470.3 IPS |
|
|
Face Detection (Q)
|
100% |
51875
616.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7052
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
91023
701.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
112763
881.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21955
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
223725
287.6 IPS |
|
|
Style Transfer (Q)
|
96% |
212984
274.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4979
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45787
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48714
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5269
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3229
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4332
74.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4604
79.6 IPS |
