MacBook Air (15-inch, 2023)
Geekbench AI Score
3435
Single Precision Score
5980
Half Precision Score
4855
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | UDH_Geekbench6 |
| Upload Date | April 14 2025 04:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.3 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2767
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15110
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12898
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2798
222.7 IPS |
|
|
Object Detection (Q)
|
94% |
2034
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5881
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3432
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5539
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10989
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7694
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18587
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28991
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24002
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5004
184.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3778
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3705
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6446
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6403
110.6 IPS |
