MacBook Pro (14-inch M5) Mac17,2
Geekbench AI Score
5255
Single Precision Score
8651
Half Precision Score
6861
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 2muchpower |
| Upload Date | November 24 2025 09:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2234
415.5 IPS |
|
|
Image Classification (HP)
|
100% |
3683
685.0 IPS |
|
|
Image Classification (Q)
|
96% |
2538
474.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3584
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3830
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11191
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20655
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17711
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.3 IPS |
|
|
Object Detection (HP)
|
97% |
4134
329.1 IPS |
|
|
Object Detection (Q)
|
94% |
2902
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
4638
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
8323
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4738
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9054
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15114
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10527
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27255
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41081
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33666
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7346
271.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5170
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5793
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5636
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5028
86.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9473
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9468
163.6 IPS |
