MacBook Air M5 32gb Mac17,3
Geekbench AI Score
5553
Single Precision Score
9043
Half Precision Score
6979
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | marcsteinberg |
| Upload Date | April 17 2026 07:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| Model | Mac17,3 |
| Model ID | Mac17,3 |
| Motherboard | Mac17,3 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.6 IPS |
|
|
Image Classification (HP)
|
100% |
3730
693.7 IPS |
|
|
Image Classification (Q)
|
94% |
2214
413.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2236
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3632
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9947
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19499
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16770
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
98% |
4236
337.1 IPS |
|
|
Object Detection (Q)
|
88% |
2660
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
5052
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
9253
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
4971
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8811
67.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11265
87.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7842
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25335
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
46302
59.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36994
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10267
379.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6349
234.4 IPS |
|
|
Text Classification (SP)
|
99% |
6100
8.14 KIPS |
|
|
Text Classification (HP)
|
99% |
10408
13.9 KIPS |
|
|
Text Classification (Q)
|
92% |
9912
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
5128
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8273
142.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8427
145.6 IPS |
