MacBook Air (15-inch, 2023)
Geekbench AI Score
3389
Single Precision Score
5862
Half Precision Score
4756
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | October 03 2024 03:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
2455
456.5 IPS |
|
|
Image Classification (Q)
|
96% |
1715
320.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2801
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6762
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
14796
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12831
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2832
225.5 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5751
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3413
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5529
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11421
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7959
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18330
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28760
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23631
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3545
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3643
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3621
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5775
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5720
98.8 IPS |
