Mac15,13
Geekbench AI Score
4031
Single Precision Score
7156
Half Precision Score
5795
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cody22 |
| Upload Date | December 05 2025 10:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1526
283.9 IPS |
|
|
Image Classification (HP)
|
100% |
2989
555.9 IPS |
|
|
Image Classification (Q)
|
96% |
2095
391.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2959
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3312
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8330
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
17498
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15083
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.2 IPS |
|
|
Object Detection (Q)
|
94% |
2377
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6924
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7076
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12931
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9120
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21999
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33877
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28169
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4451
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5639
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6712
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6691
115.6 IPS |
