MacBook Pro (16-inch, 2024)
Geekbench AI Score
6004
Single Precision Score
9553
Half Precision Score
7301
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Platinkaiser |
| Upload Date | February 07 2026 04:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (HP)
|
100% |
3140
583.9 IPS |
|
|
Image Classification (Q)
|
96% |
2198
410.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3500
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3989
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18463
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34600
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27215
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (HP)
|
97% |
3975
316.4 IPS |
|
|
Object Detection (Q)
|
94% |
2804
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
5357
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8838
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
4917
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9051
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15647
121.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9805
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31531
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
58518
75.2 IPS |
|
|
Style Transfer (Q)
|
96% |
44449
57.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9405
347.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5450
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6682
115.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9822
169.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9794
169.3 IPS |
