MacBook Pro (16-inch, 2024)
Geekbench AI Score
5940
Single Precision Score
9128
Half Precision Score
7011
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 09:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
2129
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.4 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3543
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3982
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19176
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32682
38.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25072
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.2 IPS |
|
|
Object Detection (HP)
|
97% |
3872
308.3 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8153
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
4727
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9048
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15057
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10434
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36943
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53405
68.7 IPS |
|
|
Style Transfer (Q)
|
96% |
40292
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7162
264.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9583
353.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5326
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5230
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5188
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6150
105.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8975
155.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8896
153.7 IPS |
