MacBook Pro (16-inch, 2024)
Geekbench AI Score
21599
Single Precision Score
24399
Half Precision Score
22794
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | cmacera |
| Upload Date | March 15 2026 02:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9439
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
9525
1.77 KIPS |
|
|
Image Classification (Q)
|
96% |
9422
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20291
328.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21163
343.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19932
323.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
77124
90.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
87729
102.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
84481
99.0 IPS |
|
|
Object Detection (SP)
|
100% |
8520
675.8 IPS |
|
|
Object Detection (HP)
|
100% |
9500
753.5 IPS |
|
|
Object Detection (Q)
|
91% |
8620
688.9 IPS |
|
|
Face Detection (SP)
|
100% |
36152
429.6 IPS |
|
|
Face Detection (HP)
|
100% |
40447
480.6 IPS |
|
|
Face Detection (Q)
|
100% |
36801
437.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
41986
323.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44109
339.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
40680
318.3 IPS |
|
|
Style Transfer (SP)
|
100% |
183934
236.4 IPS |
|
|
Style Transfer (HP)
|
100% |
200061
257.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196182
253.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25244
932.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26531
979.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22742
839.8 IPS |
|
|
Text Classification (SP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5603
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
7625
131.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8292
142.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7399
127.9 IPS |
