Mac15,12
Geekbench AI Score
8482
Single Precision Score
9822
Half Precision Score
9116
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 10 2025 06:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4298
799.3 IPS |
|
|
Image Classification (HP)
|
100% |
4678
869.9 IPS |
|
|
Image Classification (Q)
|
96% |
4349
812.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6485
105.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6984
113.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6709
108.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25055
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26176
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
25924
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4353
345.3 IPS |
|
|
Object Detection (HP)
|
100% |
4935
391.4 IPS |
|
|
Object Detection (Q)
|
92% |
4453
355.4 IPS |
|
|
Face Detection (SP)
|
100% |
11693
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
15244
181.1 IPS |
|
|
Face Detection (Q)
|
100% |
12250
145.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18804
144.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20053
154.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
18619
145.4 IPS |
|
|
Style Transfer (SP)
|
100% |
51143
65.7 IPS |
|
|
Style Transfer (HP)
|
100% |
59677
76.7 IPS |
|
|
Style Transfer (Q)
|
96% |
57818
74.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10988
405.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10808
399.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9523
351.6 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5403
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5373
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1860
32.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1744
30.1 IPS |
