MacBook Pro (16-inch, 2024)
Geekbench AI Score
6012
Single Precision Score
9519
Half Precision Score
7320
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 20 2025 06:48 PM |
| Views | 28 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (HP)
|
100% |
2964
551.3 IPS |
|
|
Image Classification (Q)
|
96% |
2174
406.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3499
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4002
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18377
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34670
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27197
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2695
213.7 IPS |
|
|
Object Detection (HP)
|
97% |
3955
314.8 IPS |
|
|
Object Detection (Q)
|
94% |
2804
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
5344
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
8834
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
4892
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9011
69.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15619
120.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10176
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31691
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
57862
74.4 IPS |
|
|
Style Transfer (Q)
|
96% |
44207
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7163
264.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9623
355.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5420
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5599
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6675
115.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9914
171.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9973
172.3 IPS |
