MacBook Pro (14-inch, M5 Pro, 2026)/M5 Pro Mac17,9
Geekbench AI Score
5021
Single Precision Score
8766
Half Precision Score
7024
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2026 06:22 AM |
| Views | 8 |
| Notes | MacBook Pro (14-inch, M5 Pro, 2026)/M5 Pro 18Core CPU/20Core GPU/48GB/2TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
3679
684.2 IPS |
|
|
Image Classification (Q)
|
96% |
2518
470.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3481
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3990
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11025
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20892
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17969
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2817
223.4 IPS |
|
|
Object Detection (HP)
|
97% |
4255
338.7 IPS |
|
|
Object Detection (Q)
|
94% |
2997
238.9 IPS |
|
|
Face Detection (SP)
|
100% |
5176
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
8724
103.7 IPS |
|
|
Face Detection (Q)
|
100% |
4889
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9431
72.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15763
121.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10849
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27215
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41837
53.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34314
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6032
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7174
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5219
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2435
41.9 IPS |
|
|
Machine Translation (HP)
|
98% |
10279
177.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10301
178.0 IPS |
