MacBook Pro (16-inch, M5 Max, 2026)/M5 Max Mac17,6
Geekbench AI Score
25037
Single Precision Score
40964
Half Precision Score
38043
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2026 06:08 AM |
| Views | 37 |
| 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 | GPU |
| 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% |
10344
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
13451
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
11860
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24626
399.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
37985
615.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
35122
569.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
106789
124.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
260196
303.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
259734
304.4 IPS |
|
|
Object Detection (SP)
|
100% |
9617
762.9 IPS |
|
|
Object Detection (HP)
|
100% |
16089
1.28 KIPS |
|
|
Object Detection (Q)
|
94% |
14417
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
43345
515.0 IPS |
|
|
Face Detection (HP)
|
100% |
65085
773.3 IPS |
|
|
Face Detection (Q)
|
100% |
58970
700.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
51200
394.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
83118
640.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
71677
559.6 IPS |
|
|
Style Transfer (SP)
|
100% |
230045
295.7 IPS |
|
|
Style Transfer (HP)
|
100% |
462467
594.5 IPS |
|
|
Style Transfer (Q)
|
96% |
526026
678.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29994
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49662
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37989
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5593
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
8210
141.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9075
156.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8619
148.9 IPS |
