MacBook Air (15-inch, 2023)
Geekbench AI Score
6642
Single Precision Score
7129
Half Precision Score
6485
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MasterChief |
| Upload Date | November 11 2024 02:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3678
684.0 IPS |
|
|
Image Classification (HP)
|
100% |
3666
681.7 IPS |
|
|
Image Classification (Q)
|
97% |
2729
509.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4034
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5008
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4986
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24561
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26181
30.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
23981
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
3406
270.2 IPS |
|
|
Object Detection (HP)
|
100% |
2405
190.7 IPS |
|
|
Object Detection (Q)
|
91% |
2720
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
10437
124.0 IPS |
|
|
Face Detection (HP)
|
100% |
11223
133.4 IPS |
|
|
Face Detection (Q)
|
100% |
8252
98.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16471
126.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17104
131.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
13846
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42554
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48602
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45261
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9913
366.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10176
375.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7900
291.7 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3761
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
966
16.7 IPS |
