MacBook Pro (16-inch, 2024)
Geekbench AI Score
5940
Single Precision Score
9147
Half Precision Score
7025
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nithinmohantk |
| Upload Date | June 20 2025 12:40 PM |
| Views | 7 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2130
396.2 IPS |
|
|
Image Classification (HP)
|
100% |
3076
572.1 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3547
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3938
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19206
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31914
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24956
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.4 IPS |
|
|
Object Detection (HP)
|
97% |
3858
307.1 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
4765
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
7963
94.6 IPS |
|
|
Face Detection (Q)
|
100% |
4677
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8727
67.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14977
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10355
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37165
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53490
68.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39758
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7219
266.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9591
354.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5339
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
3028
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5497
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6088
104.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9083
156.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9089
157.1 IPS |
