MacBook Pro (16-inch, 2024)
Geekbench AI Score
5980
Single Precision Score
9228
Half Precision Score
7085
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 01 2025 09:38 PM |
| Views | 28 |
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 (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2127
395.5 IPS |
|
|
Image Classification (HP)
|
100% |
3075
571.8 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3964
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19222
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32708
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
25183
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
97% |
3893
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2689
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4831
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8237
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
4734
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9059
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15375
118.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10581
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37376
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54253
69.7 IPS |
|
|
Style Transfer (Q)
|
96% |
40896
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7254
267.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9635
355.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5413
199.9 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5388
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5308
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6143
105.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9009
155.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9173
158.5 IPS |
