MacBook Pro (16-inch, 2024)
Geekbench AI Score
5757
Single Precision Score
9350
Half Precision Score
7210
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | B007Cyber |
| Upload Date | November 03 2025 06:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2160
401.7 IPS |
|
|
Image Classification (HP)
|
100% |
3188
592.9 IPS |
|
|
Image Classification (Q)
|
96% |
2179
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3419
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3884
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17306
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34013
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26737
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
97% |
3879
308.8 IPS |
|
|
Object Detection (Q)
|
94% |
2770
220.8 IPS |
|
|
Face Detection (SP)
|
100% |
5075
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
8600
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
4822
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8789
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14630
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10190
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30716
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
57097
73.4 IPS |
|
|
Style Transfer (Q)
|
96% |
43818
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6925
255.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9293
343.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5360
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5914
101.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9525
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9478
163.8 IPS |
