MacBook Air (15-inch, 2023)
Geekbench AI Score
3509
Single Precision Score
27262
Half Precision Score
30144
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | continentalglue |
| Upload Date | December 26 2024 11:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
14832
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
15798
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19735
319.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24461
396.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6903
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
107732
125.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106733
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
99% |
16558
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
18374
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
34746
412.9 IPS |
|
|
Face Detection (Q)
|
100% |
44284
526.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89293
688.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
112293
877.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18996
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
208153
267.6 IPS |
|
|
Style Transfer (Q)
|
96% |
200825
259.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4164
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44288
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52142
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3658
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4132
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4292
74.2 IPS |
