MacBook Air M5 Mac17,3
Geekbench AI Score
5221
Single Precision Score
8553
Half Precision Score
7357
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | bvrooman |
| Upload Date | March 13 2026 02:51 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2294
426.5 IPS |
|
|
Image Classification (HP)
|
100% |
3690
686.2 IPS |
|
|
Image Classification (Q)
|
99% |
3712
692.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3280
53.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3185
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11271
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20910
24.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17563
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.0 IPS |
|
|
Object Detection (HP)
|
97% |
4167
331.7 IPS |
|
|
Object Detection (Q)
|
94% |
2922
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
4778
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8448
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4738
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9109
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15246
117.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
15259
118.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27297
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41392
53.2 IPS |
|
|
Style Transfer (Q)
|
100% |
41157
52.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5818
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7121
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5048
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4957
85.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9461
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9298
160.7 IPS |
