MacBook Pro (16-inch, 2024)
Geekbench AI Score
5401
Single Precision Score
8359
Half Precision Score
6851
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tralston |
| Upload Date | December 05 2024 08:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 4.21 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2165
402.7 IPS |
|
|
Image Classification (HP)
|
100% |
3130
582.1 IPS |
|
|
Image Classification (Q)
|
96% |
2138
399.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3518
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3701
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19246
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32637
38.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24928
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2639
209.3 IPS |
|
|
Object Detection (HP)
|
97% |
3931
312.9 IPS |
|
|
Object Detection (Q)
|
94% |
2713
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8166
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
4497
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8763
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14503
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9083
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14797
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22809
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39733
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7137
263.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9276
342.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5752
212.4 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5142
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5050
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5910
101.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9154
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9033
156.1 IPS |
