MacBook Pro (16-inch, 2024)
Geekbench AI Score
5592
Single Precision Score
9286
Half Precision Score
7141
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | nikhilr |
| Upload Date | August 13 2025 07:45 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2117
393.8 IPS |
|
|
Image Classification (HP)
|
100% |
3098
576.1 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3660
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3978
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18133
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32587
38.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25097
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
97% |
3877
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4891
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
8208
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
4687
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8787
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14992
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10519
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26521
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52998
68.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40323
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6097
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10177
375.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5965
220.3 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5360
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5300
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6099
105.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9359
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9267
160.1 IPS |
