G MacBook Air Mac15,13
Geekbench AI Score
4175
Single Precision Score
7033
Half Precision Score
5702
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 12:39 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1577
293.3 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.0 IPS |
|
|
Image Classification (Q)
|
96% |
2077
387.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3392
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8924
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17345
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15033
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1852
146.9 IPS |
|
|
Object Detection (HP)
|
97% |
3286
261.6 IPS |
|
|
Object Detection (Q)
|
94% |
2370
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6723
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3987
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7212
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13649
105.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9435
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22403
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34096
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28507
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5337
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6086
224.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4417
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5290
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5247
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5843
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5829
100.7 IPS |
