Mac15,12
Geekbench AI Score
3826
Single Precision Score
6827
Half Precision Score
5535
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mgoksoy |
| Upload Date | October 23 2025 01:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
2882
535.9 IPS |
|
|
Image Classification (Q)
|
96% |
1994
372.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3133
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7830
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
17156
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14764
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1648
130.7 IPS |
|
|
Object Detection (HP)
|
97% |
3134
249.5 IPS |
|
|
Object Detection (Q)
|
94% |
2284
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6209
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3663
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6743
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12511
96.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8804
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20850
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33123
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27581
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4369
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5893
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5913
102.2 IPS |
