MacBook Pro (16-inch, 2024)
Geekbench AI Score
5928
Single Precision Score
9192
Half Precision Score
7012
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | January 05 2025 12:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
3082
573.2 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3657
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3998
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19203
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32496
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24694
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.1 IPS |
|
|
Object Detection (HP)
|
97% |
3884
309.2 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4771
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8011
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4667
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8826
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15160
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10242
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36678
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
53368
68.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39647
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7224
266.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9695
358.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5360
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5409
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6029
103.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8981
155.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8962
154.9 IPS |
