Mac15,12
Geekbench AI Score
4056
Single Precision Score
6973
Half Precision Score
5652
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 01:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
1574
292.8 IPS |
|
|
Image Classification (HP)
|
100% |
2976
553.5 IPS |
|
|
Image Classification (Q)
|
96% |
2090
390.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3214
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8849
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17439
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14993
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
3199
254.6 IPS |
|
|
Object Detection (Q)
|
94% |
2321
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6502
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3907
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6988
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12636
97.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8989
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22114
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34401
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28598
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5151
190.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6103
225.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4445
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5079
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5056
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3240
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6455
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6307
109.0 IPS |
