MacBook Pro (14-inch, M5) Mac17,2
Geekbench AI Score
5347
Single Precision Score
8651
Half Precision Score
6930
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | October 22 2025 01:54 AM |
| Views | 20 |
| Notes | MacBook Pro (14-inch, M5)/M5 10Core CPU/10Core GPU/16GB/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2319
431.2 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.8 IPS |
|
|
Image Classification (Q)
|
96% |
2525
471.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3894
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11264
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20712
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17886
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (HP)
|
97% |
4182
332.9 IPS |
|
|
Object Detection (Q)
|
94% |
2966
236.4 IPS |
|
|
Face Detection (SP)
|
100% |
4838
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8642
102.7 IPS |
|
|
Face Detection (Q)
|
100% |
4857
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9158
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15197
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10677
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27183
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41560
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34070
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5944
219.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5163
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5656
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9364
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9494
164.1 IPS |
