MacBook Air (15-inch, 2023)
Geekbench AI Score
5740
Single Precision Score
6276
Half Precision Score
2034
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 16 2024 12:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3469
645.2 IPS |
|
|
Image Classification (HP)
|
100% |
3483
647.7 IPS |
|
|
Image Classification (Q)
|
97% |
2630
490.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3970
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4816
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24511
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26154
30.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
23668
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3542
281.0 IPS |
|
|
Object Detection (HP)
|
100% |
3568
283.0 IPS |
|
|
Object Detection (Q)
|
92% |
2799
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
9900
117.6 IPS |
|
|
Face Detection (HP)
|
100% |
11382
135.2 IPS |
|
|
Face Detection (Q)
|
100% |
7797
92.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16544
127.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17634
135.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42251
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48282
62.1 IPS |
|
|
Style Transfer (Q)
|
96% |
45017
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9457
349.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10137
374.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7772
287.0 IPS |
|
|
Text Classification (SP)
|
100% |
515
687.0 IPS |
|
|
Text Classification (HP)
|
100% |
597
797.3 IPS |
|
|
Text Classification (Q)
|
93% |
593
795.7 IPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
893
15.4 IPS |
