Mac15,12
Geekbench AI Score
4117
Single Precision Score
7097
Half Precision Score
5766
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 01 2025 05:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1601
297.8 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.2 IPS |
|
|
Image Classification (Q)
|
96% |
2086
389.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2951
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8841
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17507
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15125
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.9 IPS |
|
|
Object Detection (HP)
|
97% |
3266
260.0 IPS |
|
|
Object Detection (Q)
|
94% |
2387
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6808
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3995
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7186
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13018
100.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9188
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22443
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34684
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28802
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5277
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4440
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5393
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3249
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6406
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6395
110.5 IPS |
