MacBook Pro (16-inch, M5 Max, 2026)/M5 Max Mac17,6
Geekbench AI Score
27580
Single Precision Score
44042
Half Precision Score
41222
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 23 2026 03:25 AM |
| Views | 7 |
| 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 | 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10468
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
13560
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
12056
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28000
453.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
42283
685.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
39043
632.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
130696
152.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
335172
391.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
288529
338.2 IPS |
|
|
Object Detection (SP)
|
100% |
10432
827.5 IPS |
|
|
Object Detection (HP)
|
100% |
14862
1.18 KIPS |
|
|
Object Detection (Q)
|
94% |
14829
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
49824
592.0 IPS |
|
|
Face Detection (HP)
|
100% |
72153
857.3 IPS |
|
|
Face Detection (Q)
|
100% |
64817
770.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
53477
412.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
89750
691.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
85466
667.3 IPS |
|
|
Style Transfer (SP)
|
100% |
265070
340.8 IPS |
|
|
Style Transfer (HP)
|
100% |
547602
704.0 IPS |
|
|
Style Transfer (Q)
|
96% |
612298
790.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34868
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52218
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42138
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5671
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
8614
148.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9244
159.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8679
150.0 IPS |
