MacBook Pro (16-inch, 2024)
Geekbench AI Score
5769
Single Precision Score
9312
Half Precision Score
7168
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | peterb123 |
| Upload Date | September 20 2025 03:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2165
402.6 IPS |
|
|
Image Classification (HP)
|
100% |
3093
575.2 IPS |
|
|
Image Classification (Q)
|
96% |
2147
400.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3404
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3880
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17259
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34079
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26750
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
97% |
3878
308.7 IPS |
|
|
Object Detection (Q)
|
94% |
2744
218.7 IPS |
|
|
Face Detection (SP)
|
100% |
5050
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
8527
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4798
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8811
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14862
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9669
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30418
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56608
72.8 IPS |
|
|
Style Transfer (Q)
|
96% |
43588
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6995
258.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9318
344.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5397
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5628
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5973
102.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9434
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9543
164.9 IPS |
