Mac15,13
Geekbench AI Score
3945
Single Precision Score
5627
Half Precision Score
4673
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | nostah |
| Upload Date | August 27 2024 12:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1680
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
2245
417.5 IPS |
|
|
Image Classification (Q)
|
99% |
2245
418.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1528
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8534
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17066
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14644
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1855
147.1 IPS |
|
|
Object Detection (HP)
|
97% |
2595
206.6 IPS |
|
|
Object Detection (Q)
|
94% |
1988
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5088
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3320
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6752
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9828
75.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4990
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21506
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32025
41.2 IPS |
|
|
Style Transfer (Q)
|
100% |
31977
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5001
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6142
226.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4377
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4715
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4711
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3173
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4539
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4557
78.8 IPS |
