MacBook Air M5 Mac17,3
Geekbench AI Score
13366
Single Precision Score
24007
Half Precision Score
20645
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | bvrooman |
| Upload Date | March 13 2026 02:55 PM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D2125) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6124
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10314
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
10318
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9912
160.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15360
249.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
15339
248.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37343
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
89561
104.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
113814
133.4 IPS |
|
|
Object Detection (SP)
|
100% |
6362
504.6 IPS |
|
|
Object Detection (HP)
|
100% |
11193
887.8 IPS |
|
|
Object Detection (Q)
|
94% |
11487
915.9 IPS |
|
|
Face Detection (SP)
|
100% |
18701
222.2 IPS |
|
|
Face Detection (HP)
|
100% |
34562
410.7 IPS |
|
|
Face Detection (Q)
|
100% |
33156
394.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27612
212.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51966
400.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
11488
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78129
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
163159
209.7 IPS |
|
|
Style Transfer (Q)
|
100% |
162659
209.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15354
566.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29740
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
27086
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6935
119.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8349
143.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7443
128.6 IPS |
