MacBook Pro (16-inch, 2024)
Geekbench AI Score
5908
Single Precision Score
9436
Half Precision Score
7235
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | markbyrn |
| Upload Date | February 13 2026 01:53 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
2183
406.0 IPS |
|
|
Image Classification (HP)
|
100% |
3096
575.7 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3450
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3935
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17909
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34361
40.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
27035
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
97% |
3934
313.2 IPS |
|
|
Object Detection (Q)
|
94% |
2784
221.9 IPS |
|
|
Face Detection (SP)
|
100% |
5183
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
8339
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
4817
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8703
67.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15420
119.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9643
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30724
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
57244
73.6 IPS |
|
|
Style Transfer (Q)
|
96% |
44037
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7125
263.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9594
354.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5446
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6433
110.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9699
167.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9823
169.8 IPS |
