MacBook Air 13" Mac15,12
Geekbench AI Score
8533
Single Precision Score
9969
Half Precision Score
9239
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | enroscado |
| Upload Date | April 29 2025 04:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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% |
4327
804.8 IPS |
|
|
Image Classification (HP)
|
100% |
4697
873.6 IPS |
|
|
Image Classification (Q)
|
96% |
4374
816.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6467
104.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6993
113.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6727
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25179
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26489
30.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
25940
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4377
347.2 IPS |
|
|
Object Detection (HP)
|
100% |
4940
391.8 IPS |
|
|
Object Detection (Q)
|
92% |
4465
356.4 IPS |
|
|
Face Detection (SP)
|
100% |
11737
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
15292
181.7 IPS |
|
|
Face Detection (Q)
|
100% |
12379
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19069
146.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20746
159.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19069
149.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51430
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
60784
78.1 IPS |
|
|
Style Transfer (Q)
|
96% |
58676
75.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11022
407.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12018
443.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10296
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5405
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1747
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1801
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1735
30.0 IPS |
