Mac15,12
Geekbench AI Score
3999
Single Precision Score
31110
Half Precision Score
34753
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | February 07 2026 04:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1502
279.3 IPS |
|
|
Image Classification (HP)
|
100% |
16331
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18374
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22268
361.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27497
445.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8236
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
121171
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120749
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
18066
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20792
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3452
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
40103
476.5 IPS |
|
|
Face Detection (Q)
|
100% |
52003
617.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7024
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98442
758.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
122513
957.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21941
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
229214
294.7 IPS |
|
|
Style Transfer (Q)
|
96% |
220648
284.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4952
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47124
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56215
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4531
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4720
81.6 IPS |
