MacBook Pro (16-inch, M5 Max, 2026)/M5 Max Mac17,6
Geekbench AI Score
5143
Single Precision Score
45250
Half Precision Score
59639
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 23 2026 03:27 AM |
| Views | 13 |
| 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 | Neural Engine |
| 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% |
2388
444.1 IPS |
|
|
Image Classification (HP)
|
100% |
21164
3.94 KIPS |
|
|
Image Classification (Q)
|
97% |
24895
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26266
425.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
36636
593.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11658
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
184008
214.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
339553
398.0 IPS |
|
|
Object Detection (SP)
|
100% |
2858
226.7 IPS |
|
|
Object Detection (HP)
|
100% |
23598
1.87 KIPS |
|
|
Object Detection (Q)
|
91% |
28116
2.25 KIPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
50258
597.2 IPS |
|
|
Face Detection (Q)
|
100% |
71049
844.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9543
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
139044
1.07 KIPS |
|
|
Depth Estimation (Q)
|
85% |
209425
1.64 KIPS |
|
|
Style Transfer (SP)
|
100% |
27314
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
288963
371.5 IPS |
|
|
Style Transfer (Q)
|
96% |
400366
516.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67589
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103704
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5496
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
19881
342.5 IPS |
|
|
Machine Translation (Q)
|
98% |
19486
336.7 IPS |
