MacBook Pro (16-inch, 2024)
Geekbench AI Score
5897
Single Precision Score
9062
Half Precision Score
6946
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 06:25 AM |
| 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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.7 IPS |
|
|
Image Classification (HP)
|
100% |
3063
569.6 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3946
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19076
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31886
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24433
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2549
202.2 IPS |
|
|
Object Detection (HP)
|
97% |
3844
306.0 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
7941
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4664
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9064
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14653
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10313
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36027
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50735
65.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38655
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7099
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9686
357.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5281
195.0 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5292
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5275
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6032
103.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8942
154.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8907
153.9 IPS |
