MacBook Air (15-inch, 2023)
Geekbench AI Score
6675
Single Precision Score
7401
Half Precision Score
6502
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 05 2024 02:55 AM |
| Views | 9 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3697
687.4 IPS |
|
|
Image Classification (HP)
|
100% |
3634
675.8 IPS |
|
|
Image Classification (Q)
|
97% |
3038
567.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4028
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5050
81.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5116
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24640
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26253
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24446
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3555
282.0 IPS |
|
|
Object Detection (HP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (Q)
|
91% |
3036
242.6 IPS |
|
|
Face Detection (SP)
|
100% |
10396
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
11927
141.7 IPS |
|
|
Face Detection (Q)
|
100% |
8221
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16700
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17875
137.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14692
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42826
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48487
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45414
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9809
362.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10344
381.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7977
294.6 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3741
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
98% |
716
12.4 IPS |
