MacBook Pro (16-inch, 2024)
Geekbench AI Score
5612
Single Precision Score
9271
Half Precision Score
7144
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Eterius |
| Upload Date | May 07 2025 02:15 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2131
396.3 IPS |
|
|
Image Classification (HP)
|
100% |
3092
575.0 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3489
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3930
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18226
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33054
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24881
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
97% |
3897
310.2 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4917
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
8083
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
4745
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8852
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14964
115.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10489
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26244
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53820
69.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40907
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6089
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10198
376.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5831
215.3 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5381
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5299
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6235
107.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9460
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9447
163.3 IPS |
