Mac15,12
Geekbench AI Score
4123
Single Precision Score
7054
Half Precision Score
5709
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 10 2025 06:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
1591
295.8 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.8 IPS |
|
|
Image Classification (Q)
|
96% |
2076
387.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3234
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8990
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17546
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15095
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3240
258.0 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3495
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6603
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3884
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7136
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12872
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9083
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22398
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34534
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28613
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5247
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6125
226.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4474
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5405
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6368
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6360
109.9 IPS |
