MacBook Air M5 Mac17,4
Geekbench AI Score
5576
Single Precision Score
8856
Half Precision Score
6967
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | jiashu |
| Upload Date | March 25 2026 12:59 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,4 |
| Model ID | Mac17,4 |
| Motherboard | Mac17,4 |
| 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% |
2216
412.1 IPS |
|
|
Image Classification (HP)
|
100% |
3204
595.9 IPS |
|
|
Image Classification (Q)
|
94% |
2320
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3618
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9915
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18437
21.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16753
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.7 IPS |
|
|
Object Detection (HP)
|
98% |
4040
321.5 IPS |
|
|
Object Detection (Q)
|
88% |
2649
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
5062
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
9067
107.7 IPS |
|
|
Face Detection (Q)
|
100% |
4997
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8813
67.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11479
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7900
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25509
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46258
59.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34921
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10376
383.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6098
225.2 IPS |
|
|
Text Classification (SP)
|
99% |
6530
8.72 KIPS |
|
|
Text Classification (HP)
|
99% |
10322
13.8 KIPS |
|
|
Text Classification (Q)
|
92% |
10347
13.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5121
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8327
143.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8322
143.8 IPS |
