MacBook Pro (16-inch, 2024)
Geekbench AI Score
5588
Single Precision Score
9278
Half Precision Score
7108
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | RGPphotog |
| Upload Date | May 12 2025 12:13 AM |
| Views | 8 |
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% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
3131
582.3 IPS |
|
|
Image Classification (Q)
|
96% |
2185
408.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3980
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18149
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32741
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
25105
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
97% |
3877
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4830
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8066
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4587
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8799
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14730
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10164
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27226
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53968
69.4 IPS |
|
|
Style Transfer (Q)
|
96% |
40590
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6078
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10117
373.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5851
216.0 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5416
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5993
103.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9374
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9335
161.3 IPS |
