MacBook Pro (14-inch, 2024)
Geekbench AI Score
4873
Single Precision Score
7959
Half Precision Score
6434
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| Upload Date | June 21 2025 10:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3720
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9923
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19381
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16732
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2741
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
7759
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4532
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8679
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14715
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10314
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21911
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38805
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32176
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6138
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7043
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2993
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4360
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7108
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7167
123.9 IPS |
