Mac15,12
Geekbench AI Score
7597
Single Precision Score
8877
Half Precision Score
7923
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 26 2025 10:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
4327
804.7 IPS |
|
|
Image Classification (HP)
|
100% |
4673
869.1 IPS |
|
|
Image Classification (Q)
|
97% |
4032
752.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4408
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6005
97.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6326
102.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
25085
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26595
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25341
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4377
347.2 IPS |
|
|
Object Detection (HP)
|
100% |
4876
386.8 IPS |
|
|
Object Detection (Q)
|
91% |
4132
330.2 IPS |
|
|
Face Detection (SP)
|
100% |
11861
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
15052
178.9 IPS |
|
|
Face Detection (Q)
|
100% |
10979
130.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18594
143.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20561
158.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17759
138.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51957
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60632
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
56818
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11080
409.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11859
437.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9529
351.9 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5308
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5288
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
654
11.3 IPS |
