MacBook Air (15-inch, 2023)
Geekbench AI Score
2272
Single Precision Score
19321
Half Precision Score
20922
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | elnoyo |
| Upload Date | December 03 2024 01:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
10573
1.97 KIPS |
|
|
Image Classification (Q)
|
96% |
11614
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13168
213.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16985
275.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4182
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
67564
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66487
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (HP)
|
99% |
11605
923.1 IPS |
|
|
Object Detection (Q)
|
91% |
11925
952.9 IPS |
|
|
Face Detection (SP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
22002
261.4 IPS |
|
|
Face Detection (Q)
|
100% |
23760
282.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3622
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
61234
471.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
74252
580.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11724
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
138528
178.1 IPS |
|
|
Style Transfer (Q)
|
96% |
130536
168.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2673
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28617
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33662
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
1530
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2401
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2380
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2516
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5181
89.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5570
96.3 IPS |
