Mac15,12
Geekbench AI Score
3998
Single Precision Score
6909
Half Precision Score
5599
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 22 2025 08:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1543
287.0 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.3 IPS |
|
|
Image Classification (Q)
|
96% |
2059
384.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3211
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8751
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17286
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14913
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (HP)
|
97% |
3166
252.1 IPS |
|
|
Object Detection (Q)
|
94% |
2317
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3707
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6963
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12685
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8954
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21957
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33976
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28229
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5047
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6125
226.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4450
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5400
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6088
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5895
101.9 IPS |
