MacBook Pro (16-inch, 2024)
Geekbench AI Score
16835
Single Precision Score
18880
Half Precision Score
17657
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zmafreak |
| Upload Date | September 28 2025 06:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7952
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8274
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
7511
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14382
233.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15014
243.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14403
233.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
54530
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
59716
69.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
57261
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
7083
561.8 IPS |
|
|
Object Detection (HP)
|
100% |
7365
584.2 IPS |
|
|
Object Detection (Q)
|
92% |
7091
566.0 IPS |
|
|
Face Detection (SP)
|
100% |
26204
311.4 IPS |
|
|
Face Detection (HP)
|
100% |
29460
350.0 IPS |
|
|
Face Detection (Q)
|
100% |
24437
290.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33044
254.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34844
268.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
32471
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
121277
155.9 IPS |
|
|
Style Transfer (HP)
|
100% |
133906
172.1 IPS |
|
|
Style Transfer (Q)
|
96% |
130946
169.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20546
758.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21047
777.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18353
677.7 IPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6023
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6492
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6434
111.2 IPS |
