MacBook Air (15-inch, 2023)
Geekbench AI Score
6666
Single Precision Score
7523
Half Precision Score
6586
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 02:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3666
681.7 IPS |
|
|
Image Classification (HP)
|
100% |
3652
679.1 IPS |
|
|
Image Classification (Q)
|
97% |
2750
513.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4036
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5024
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5001
81.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24611
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26303
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24152
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3446
273.4 IPS |
|
|
Object Detection (HP)
|
100% |
3721
295.2 IPS |
|
|
Object Detection (Q)
|
91% |
2833
226.3 IPS |
|
|
Face Detection (SP)
|
100% |
10453
124.2 IPS |
|
|
Face Detection (HP)
|
100% |
11987
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
8259
98.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16590
127.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17869
137.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13864
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42006
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48515
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45518
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9975
368.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10112
373.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7831
289.2 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3746
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1068
18.5 IPS |
