MacBook Air (15-inch, 2023)
Geekbench AI Score
5772
Single Precision Score
6317
Half Precision Score
5611
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | greedus |
| Upload Date | August 23 2024 11:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3509
652.6 IPS |
|
|
Image Classification (HP)
|
100% |
3512
653.2 IPS |
|
|
Image Classification (Q)
|
99% |
3085
575.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3974
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4899
79.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4758
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24528
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26140
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23557
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
3557
282.2 IPS |
|
|
Object Detection (HP)
|
100% |
3594
285.1 IPS |
|
|
Object Detection (Q)
|
92% |
2813
224.5 IPS |
|
|
Face Detection (SP)
|
100% |
9855
117.1 IPS |
|
|
Face Detection (HP)
|
100% |
11374
135.1 IPS |
|
|
Face Detection (Q)
|
100% |
7724
91.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16627
128.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17696
136.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
17626
136.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42656
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48328
62.1 IPS |
|
|
Style Transfer (Q)
|
100% |
48002
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9571
353.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10247
378.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7678
284.5 IPS |
|
|
Text Classification (SP)
|
100% |
503
671.3 IPS |
|
|
Text Classification (HP)
|
100% |
660
880.8 IPS |
|
|
Text Classification (Q)
|
93% |
655
879.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.7 IPS |
