MacBook Air (15-inch, 2023)
Geekbench AI Score
2030
Single Precision Score
11845
Half Precision Score
13321
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | KenTang |
| Upload Date | November 10 2024 03:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1185
220.3 IPS |
|
|
Image Classification (HP)
|
100% |
7198
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
7506
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5001
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8092
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
87732
102.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
87741
102.8 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
99% |
8383
666.9 IPS |
|
|
Object Detection (Q)
|
93% |
8843
705.6 IPS |
|
|
Face Detection (SP)
|
100% |
2127
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
11144
132.4 IPS |
|
|
Face Detection (Q)
|
100% |
13026
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3794
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49476
381.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
59724
466.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10631
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
137957
177.3 IPS |
|
|
Style Transfer (Q)
|
95% |
126132
162.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2947
108.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19130
706.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25042
924.7 IPS |
|
|
Text Classification (SP)
|
100% |
459
613.1 IPS |
|
|
Text Classification (HP)
|
100% |
598
798.6 IPS |
|
|
Text Classification (Q)
|
93% |
646
867.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2362
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2352
40.6 IPS |
