MacBook Pro (16-inch, 2024)
Geekbench AI Score
5442
Single Precision Score
9137
Half Precision Score
7094
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 04 2025 03:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
3054
567.9 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3597
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3953
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17089
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31958
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24582
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
97% |
3846
306.1 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4744
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8034
95.5 IPS |
|
|
Face Detection (Q)
|
100% |
4663
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8671
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14390
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10342
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26108
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51225
65.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39577
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6010
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10202
376.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5991
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5338
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5266
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5800
99.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9314
160.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9384
162.2 IPS |
