MacBook Pro (16-inch, 2024)
Geekbench AI Score
23678
Single Precision Score
26155
Half Precision Score
24538
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | DrChandra |
| Upload Date | February 12 2026 06:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10477
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
10610
1.97 KIPS |
|
|
Image Classification (Q)
|
96% |
9473
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23563
382.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23985
388.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23114
374.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
101669
118.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
110955
129.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
106083
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
9095
721.5 IPS |
|
|
Object Detection (HP)
|
100% |
9903
785.5 IPS |
|
|
Object Detection (Q)
|
92% |
9440
753.6 IPS |
|
|
Face Detection (SP)
|
100% |
40149
477.1 IPS |
|
|
Face Detection (HP)
|
100% |
42967
510.5 IPS |
|
|
Face Detection (Q)
|
100% |
35470
421.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44442
342.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46880
361.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
42681
333.4 IPS |
|
|
Style Transfer (SP)
|
100% |
217624
279.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235211
302.4 IPS |
|
|
Style Transfer (Q)
|
96% |
229677
296.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29687
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30524
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26298
971.1 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5893
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
6513
112.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6619
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6698
115.8 IPS |
