MacBook Air (15-inch, 2023)
Geekbench AI Score
7301
Single Precision Score
8101
Half Precision Score
7619
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | GPV67 |
| Upload Date | April 04 2025 12:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3702
688.4 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.5 IPS |
|
|
Image Classification (Q)
|
96% |
3415
637.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5695
92.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5870
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5648
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24642
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26280
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25494
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (HP)
|
100% |
3746
297.1 IPS |
|
|
Object Detection (Q)
|
92% |
3398
271.2 IPS |
|
|
Face Detection (SP)
|
100% |
10294
122.3 IPS |
|
|
Face Detection (HP)
|
100% |
11887
141.2 IPS |
|
|
Face Detection (Q)
|
100% |
9949
118.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16819
129.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18027
138.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
16366
128.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42067
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48778
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47189
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9907
365.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10378
383.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8828
326.0 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1471
25.4 IPS |
