Mac15,12
Geekbench AI Score
3989
Single Precision Score
7115
Half Precision Score
5749
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | alexeft |
| Upload Date | March 16 2026 06:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1506
280.1 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.2 IPS |
|
|
Image Classification (Q)
|
96% |
2078
388.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3234
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8397
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17504
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15092
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2262
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6794
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3977
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6843
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12708
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9043
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21969
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33800
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28140
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4918
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6139
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6670
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6756
116.8 IPS |
