MacBook Pro (16-inch, 2024)
Geekbench AI Score
5563
Single Precision Score
9174
Half Precision Score
7030
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | adrienc307 |
| Upload Date | March 06 2026 05:33 PM |
| Views | 4 |
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 | 4.48 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
3058
568.8 IPS |
|
|
Image Classification (Q)
|
96% |
2119
395.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3603
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3842
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16436
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33572
39.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
26009
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.3 IPS |
|
|
Object Detection (HP)
|
97% |
3772
300.3 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
4748
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8168
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
4702
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8536
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14588
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9884
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28522
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
56004
72.0 IPS |
|
|
Style Transfer (Q)
|
96% |
42795
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9430
348.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5341
197.2 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5562
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5385
92.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8654
149.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8785
151.8 IPS |
