MacBook Air (15-inch, 2023)
Geekbench AI Score
3457
Single Precision Score
26904
Half Precision Score
30040
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | October 24 2024 09:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
13882
2.58 KIPS |
|
|
Image Classification (Q)
|
96% |
15373
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18636
302.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23263
377.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6859
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
102543
119.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104315
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
15031
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17027
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
33403
396.9 IPS |
|
|
Face Detection (Q)
|
100% |
42530
505.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86516
666.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
106314
830.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18749
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201331
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189021
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4072
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38747
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46514
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3602
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6107
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6580
113.7 IPS |
