MacBook Pro (14-inch, 2024)
Geekbench AI Score
5904
Single Precision Score
9143
Half Precision Score
7040
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | shaggyl |
| Upload Date | February 19 2025 01:44 AM |
| Views | 35 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
394.0 IPS |
|
|
Image Classification (HP)
|
100% |
3081
573.1 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2581
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3701
60.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3952
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19022
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31997
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24747
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
97% |
3882
309.0 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
7974
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
4631
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9020
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14614
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10363
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36341
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50992
65.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39854
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7209
266.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9748
360.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5479
202.3 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5427
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6015
103.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9108
157.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9135
157.9 IPS |
