Mac15,12
Geekbench AI Score
4014
Single Precision Score
7088
Half Precision Score
5733
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 03 2025 11:06 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1531
284.7 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.1 IPS |
|
|
Image Classification (Q)
|
96% |
2084
389.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3241
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8369
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
17503
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15071
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
97% |
3205
255.1 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3989
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7061
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12786
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9053
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21980
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33797
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28082
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4461
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5363
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5345
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6692
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6662
115.1 IPS |
