Mac15,13
Geekbench AI Score
4134
Single Precision Score
6962
Half Precision Score
5625
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 12:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1589
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
2912
541.6 IPS |
|
|
Image Classification (Q)
|
96% |
2048
382.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3288
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8773
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17330
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14995
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.6 IPS |
|
|
Object Detection (HP)
|
97% |
3236
257.6 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3471
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6519
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3863
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7195
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13534
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9365
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22263
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34028
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28095
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5217
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5198
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5208
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5841
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5822
100.6 IPS |
