Mac15,12
Geekbench AI Score
3929
Single Precision Score
5624
Half Precision Score
4821
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | bfalandejani |
| Upload Date | April 09 2025 08:30 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1670
310.6 IPS |
|
|
Image Classification (HP)
|
100% |
2233
415.2 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2161
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8409
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
17052
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14835
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1856
147.2 IPS |
|
|
Object Detection (HP)
|
97% |
2588
206.0 IPS |
|
|
Object Detection (Q)
|
94% |
1982
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5029
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
3276
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6751
52.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
9799
75.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7479
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21389
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32045
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26832
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6159
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4467
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4775
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4750
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4562
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4576
79.1 IPS |
