MacBook Air (15-inch, 2023)
Geekbench AI Score
2053
Single Precision Score
11776
Half Precision Score
13126
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 16 2024 12:36 PM |
| Views | 2 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1155
214.8 IPS |
|
|
Image Classification (HP)
|
100% |
7172
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
7595
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5020
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8073
130.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5964
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
87024
101.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
87546
102.6 IPS |
|
|
Object Detection (SP)
|
100% |
1265
100.4 IPS |
|
|
Object Detection (HP)
|
99% |
8386
667.1 IPS |
|
|
Object Detection (Q)
|
93% |
8835
705.0 IPS |
|
|
Face Detection (SP)
|
100% |
2140
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
11370
135.1 IPS |
|
|
Face Detection (Q)
|
100% |
13051
155.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3736
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48803
376.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
58388
456.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10576
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
138832
178.5 IPS |
|
|
Style Transfer (Q)
|
95% |
124893
161.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2867
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19300
712.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24667
910.8 IPS |
|
|
Text Classification (SP)
|
100% |
530
706.8 IPS |
|
|
Text Classification (HP)
|
100% |
556
741.7 IPS |
|
|
Text Classification (Q)
|
93% |
585
784.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2362
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2332
40.3 IPS |
