MacBook Air (15-inch, 2023)
Geekbench AI Score
6165
Single Precision Score
7330
Half Precision Score
6566
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | October 03 2024 03:10 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3629
674.9 IPS |
|
|
Image Classification (HP)
|
100% |
3568
663.5 IPS |
|
|
Image Classification (Q)
|
97% |
2987
557.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3761
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4888
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5019
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23932
27.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26027
30.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24127
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3309
262.5 IPS |
|
|
Object Detection (HP)
|
100% |
3118
247.3 IPS |
|
|
Object Detection (Q)
|
91% |
3017
241.1 IPS |
|
|
Face Detection (SP)
|
100% |
10116
120.2 IPS |
|
|
Face Detection (HP)
|
100% |
11710
139.1 IPS |
|
|
Face Detection (Q)
|
100% |
8258
98.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16181
124.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17586
135.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14607
114.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42048
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
47956
61.6 IPS |
|
|
Style Transfer (Q)
|
96% |
44955
58.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9592
354.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9944
367.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8076
298.2 IPS |
|
|
Text Classification (SP)
|
100% |
2199
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3624
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
861
14.9 IPS |
