Mac15,12
Geekbench AI Score
4001
Single Precision Score
7056
Half Precision Score
5727
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | unixwizard |
| Upload Date | February 23 2026 11:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1518
282.4 IPS |
|
|
Image Classification (HP)
|
100% |
2921
543.3 IPS |
|
|
Image Classification (Q)
|
96% |
2071
386.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3184
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8325
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
17362
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15024
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (HP)
|
97% |
3220
256.3 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6783
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3965
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7000
53.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12660
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8964
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21838
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33675
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28029
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4909
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6121
226.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4433
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5607
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3226
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6605
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6667
115.2 IPS |
