Mac15,13
Geekbench AI Score
3932
Single Precision Score
6830
Half Precision Score
5545
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 24 2025 12:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
2871
533.9 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3183
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8678
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17330
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14891
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
97% |
3167
252.1 IPS |
|
|
Object Detection (Q)
|
94% |
2307
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6301
74.9 IPS |
|
|
Face Detection (Q)
|
100% |
3790
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6729
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12679
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8882
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21476
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33326
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28331
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4990
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6158
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4434
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3027
52.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5820
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5726
99.0 IPS |
