MacBook Air (15-inch, 2023)
Geekbench AI Score
3436
Single Precision Score
24615
Half Precision Score
27037
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | October 02 2024 01:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
13752
2.56 KIPS |
|
|
Image Classification (Q)
|
96% |
15158
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19313
313.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23505
381.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6846
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
105573
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104283
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
99% |
14993
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16889
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
33348
396.2 IPS |
|
|
Face Detection (Q)
|
100% |
41845
497.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86326
665.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
106051
828.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18660
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
199872
256.9 IPS |
|
|
Style Transfer (Q)
|
96% |
188154
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39207
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46397
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2184
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3626
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3611
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2378
41.1 IPS |
