MacBook Pro (16-inch, 2024)
Geekbench AI Score
6021
Single Precision Score
9570
Half Precision Score
7330
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | DrChandra |
| Upload Date | February 12 2026 06:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
3121
580.5 IPS |
|
|
Image Classification (Q)
|
96% |
2212
413.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3484
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3994
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18290
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34568
40.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
27269
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (HP)
|
97% |
3972
316.2 IPS |
|
|
Object Detection (Q)
|
94% |
2819
224.7 IPS |
|
|
Face Detection (SP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
8879
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
4905
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9059
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15572
120.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9842
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31639
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58503
75.2 IPS |
|
|
Style Transfer (Q)
|
96% |
44180
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7050
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9619
355.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5467
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5655
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5708
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
6708
115.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9815
169.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9918
171.4 IPS |
