MacBook Pro (16-inch, M5 Max, 2026)/M5 Max Mac17,6
Geekbench AI Score
5139
Single Precision Score
8866
Half Precision Score
7091
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 23 2026 03:23 AM |
| Views | 10 |
| Notes | MacBook Pro (16-inch, M5 Max, 2026)/M5 Max 18Core CPU/40Core GPU/128GB/4TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,6 |
| Model ID | Mac17,6 |
| Motherboard | Mac17,6 |
| CPU Information | |
|---|---|
| Name | Apple M5 Max |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Max |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2394
445.2 IPS |
|
|
Image Classification (HP)
|
100% |
3711
690.1 IPS |
|
|
Image Classification (Q)
|
96% |
2529
472.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3596
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4042
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11612
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21020
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18154
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2868
227.5 IPS |
|
|
Object Detection (HP)
|
97% |
4300
342.3 IPS |
|
|
Object Detection (Q)
|
94% |
3019
240.6 IPS |
|
|
Face Detection (SP)
|
100% |
5391
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
8955
106.4 IPS |
|
|
Face Detection (Q)
|
100% |
5015
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9538
73.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15835
122.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10875
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27281
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
42008
54.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34391
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7263
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5243
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5631
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2515
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
10405
179.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10372
179.2 IPS |
