MacBook Air (15-inch, 2023)
Geekbench AI Score
6160
Single Precision Score
6901
Half Precision Score
5945
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | elnoyo |
| Upload Date | December 03 2024 01:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2818
524.1 IPS |
|
|
Image Classification (HP)
|
100% |
3505
651.8 IPS |
|
|
Image Classification (Q)
|
97% |
2912
543.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4006
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4972
80.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5054
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24615
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26270
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24454
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3319
263.3 IPS |
|
|
Object Detection (HP)
|
100% |
3107
246.4 IPS |
|
|
Object Detection (Q)
|
91% |
2538
202.8 IPS |
|
|
Face Detection (SP)
|
100% |
10074
119.7 IPS |
|
|
Face Detection (HP)
|
100% |
11374
135.2 IPS |
|
|
Face Detection (Q)
|
100% |
8073
95.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16527
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17609
135.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12178
95.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42134
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48469
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45380
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9699
358.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9950
367.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7415
273.8 IPS |
|
|
Text Classification (SP)
|
100% |
1529
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2389
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
764
13.2 IPS |
