MacBook Air (15-inch, 2023)
Geekbench AI Score
7172
Single Precision Score
8015
Half Precision Score
7510
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | UDH_Geekbench6 |
| Upload Date | April 14 2025 04:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3715
690.9 IPS |
|
|
Image Classification (HP)
|
100% |
3649
678.6 IPS |
|
|
Image Classification (Q)
|
96% |
3435
641.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5695
92.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5909
95.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5603
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24470
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26253
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25330
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3625
287.5 IPS |
|
|
Object Detection (HP)
|
100% |
3747
297.2 IPS |
|
|
Object Detection (Q)
|
92% |
3393
270.8 IPS |
|
|
Face Detection (SP)
|
100% |
10339
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
12157
144.5 IPS |
|
|
Face Detection (Q)
|
100% |
9910
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16783
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17456
134.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
16281
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41907
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48677
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
47137
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9814
362.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10089
372.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8972
331.3 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3818
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1326
22.9 IPS |
