Mac15,12
Geekbench AI Score
3994
Single Precision Score
30506
Half Precision Score
34194
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | AlexSwitch |
| Upload Date | March 06 2026 05:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
16130
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
18922
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21901
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26954
436.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8191
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
122231
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
122154
143.2 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
18027
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20942
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3404
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
39327
467.3 IPS |
|
|
Face Detection (Q)
|
100% |
51354
610.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6893
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98002
755.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
123738
967.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21851
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
228358
293.6 IPS |
|
|
Style Transfer (Q)
|
96% |
219668
283.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49265
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57104
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5751
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5684
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3697
63.9 IPS |
