MacBook Air (15-inch, 2023)
Geekbench AI Score
6483
Single Precision Score
7046
Half Precision Score
6201
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MasterChief |
| Upload Date | November 11 2024 02:46 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% |
3719
691.7 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.1 IPS |
|
|
Image Classification (Q)
|
97% |
2770
517.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4035
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4967
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5054
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24367
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26295
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24046
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2877
228.2 IPS |
|
|
Object Detection (HP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (Q)
|
91% |
2843
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
9541
113.4 IPS |
|
|
Face Detection (HP)
|
100% |
9161
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
8196
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16554
127.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17850
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13338
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42556
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48722
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
45272
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9998
369.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10232
377.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7868
290.5 IPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3784
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3748
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
602
10.4 IPS |
