MacBook Pro (16-inch, M5 Max, 2026)/M5 Max Mac17,6
Geekbench AI Score
5092
Single Precision Score
44081
Half Precision Score
57914
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2026 06:10 AM |
| Views | 47 |
| 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 | 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2364
439.6 IPS |
|
|
Image Classification (HP)
|
100% |
19511
3.63 KIPS |
|
|
Image Classification (Q)
|
97% |
23085
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25929
420.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
35826
580.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11237
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
182914
213.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
336515
394.4 IPS |
|
|
Object Detection (SP)
|
100% |
2844
225.6 IPS |
|
|
Object Detection (HP)
|
100% |
21563
1.71 KIPS |
|
|
Object Detection (Q)
|
91% |
26822
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
5295
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
50236
596.9 IPS |
|
|
Face Detection (Q)
|
100% |
69164
821.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9491
73.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
135536
1.04 KIPS |
|
|
Depth Estimation (Q)
|
85% |
202377
1.58 KIPS |
|
|
Style Transfer (SP)
|
100% |
27304
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
287341
369.4 IPS |
|
|
Style Transfer (Q)
|
96% |
396904
512.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66229
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96385
3.56 KIPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5522
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
19115
329.3 IPS |
|
|
Machine Translation (Q)
|
98% |
19230
332.3 IPS |
