MacBook Pro (16-inch, 2024)/M4 Max MacBook Pro (16-inch, 2024)
Geekbench AI Score
5881
Single Precision Score
9060
Half Precision Score
6991
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 21 2025 05:45 AM |
| Views | 9 |
| Notes | MacBook Pro (16-inch, 2024)/M4 Max 14Core CPU/32Core GPU//36GB/1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
3054
567.9 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3536
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3946
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19213
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31808
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24607
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2546
201.9 IPS |
|
|
Object Detection (HP)
|
97% |
3891
309.8 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4737
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8056
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
4684
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9017
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14618
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10299
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36180
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
50692
65.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39668
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7098
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9645
356.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5351
197.6 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5363
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5304
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6041
104.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9039
156.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9006
155.6 IPS |
