MacBook Pro (16-inch, M5 Max, 2026)/M5 Max Mac17,6
Geekbench AI Score
5109
Single Precision Score
8839
Half Precision Score
7066
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2026 06:05 AM |
| Views | 31 |
| Notes | MacBook Pro (16-inch, M5 Max, 2026)/M5 Max 18Core CPU/32Core GPU/36GB/2TB 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2366
440.0 IPS |
|
|
Image Classification (HP)
|
100% |
3685
685.3 IPS |
|
|
Image Classification (Q)
|
96% |
2532
472.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3563
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4009
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11581
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21044
24.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
18101
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2847
225.8 IPS |
|
|
Object Detection (HP)
|
97% |
4290
341.5 IPS |
|
|
Object Detection (Q)
|
94% |
3018
240.6 IPS |
|
|
Face Detection (SP)
|
100% |
5346
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
8917
106.0 IPS |
|
|
Face Detection (Q)
|
100% |
4979
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9515
73.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15744
121.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10901
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27356
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42015
54.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34447
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7240
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5207
192.3 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5608
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
10258
177.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10293
177.9 IPS |
