MacBook Pro (16-inch, 2024)
Geekbench AI Score
6054
Single Precision Score
10076
Half Precision Score
7724
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 18 2026 12:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2164
402.5 IPS |
|
|
Image Classification (HP)
|
100% |
3170
589.5 IPS |
|
|
Image Classification (Q)
|
96% |
2243
418.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3627
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3980
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15861
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34359
40.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
26921
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
2725
216.2 IPS |
|
|
Object Detection (HP)
|
97% |
3941
313.7 IPS |
|
|
Object Detection (Q)
|
94% |
2779
221.5 IPS |
|
|
Face Detection (SP)
|
100% |
5381
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
8593
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
4889
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9023
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14681
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10308
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30413
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
58317
75.0 IPS |
|
|
Style Transfer (Q)
|
96% |
44123
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9564
353.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5515
203.7 IPS |
|
|
Text Classification (SP)
|
100% |
5965
7.96 KIPS |
|
|
Text Classification (HP)
|
99% |
10310
13.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9625
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5828
100.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9551
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9589
165.7 IPS |
