Mac15,12
Geekbench AI Score
3983
Single Precision Score
6865
Half Precision Score
5564
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Kukusa |
| Upload Date | July 30 2025 07:53 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1504
279.6 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3166
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8703
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17221
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14843
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
97% |
3156
251.2 IPS |
|
|
Object Detection (Q)
|
94% |
2289
182.4 IPS |
|
|
Face Detection (SP)
|
100% |
3341
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
6174
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3689
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6937
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12725
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8938
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21807
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34227
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28354
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5051
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6125
226.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4454
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5667
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5868
101.4 IPS |
