MacBook Pro (16-inch, 2024)
Geekbench AI Score
5863
Single Precision Score
9028
Half Precision Score
7024
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ChoiSan |
| Upload Date | February 04 2025 05:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2112
392.8 IPS |
|
|
Image Classification (HP)
|
100% |
3086
573.9 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2557
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3502
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3957
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18975
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31789
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24545
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
97% |
3891
309.8 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4681
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
7838
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4634
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8765
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14545
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10177
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36253
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49616
63.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39052
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7141
263.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9676
357.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5738
211.9 IPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5428
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5936
102.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9058
156.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9042
156.3 IPS |
