Mac15,12
Geekbench AI Score
4024
Single Precision Score
7160
Half Precision Score
5765
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Zodios |
| Upload Date | February 02 2026 07:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1522
283.1 IPS |
|
|
Image Classification (HP)
|
100% |
2995
557.0 IPS |
|
|
Image Classification (Q)
|
96% |
2081
388.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3234
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8402
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17526
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15072
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3255
259.1 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6952
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
4011
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7048
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12929
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9070
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21845
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33802
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28030
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6131
226.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6672
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6633
114.6 IPS |
