MacBook Pro (14-inch, 2024)
Geekbench AI Score
4720
Single Precision Score
7768
Half Precision Score
6280
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nisizaka |
| Upload Date | March 06 2025 04:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3296
612.9 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3714
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9953
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19007
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16429
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2717
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7473
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4319
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8274
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14615
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10201
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25208
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38248
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31695
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5787
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6710
247.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4811
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5456
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6554
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6731
116.3 IPS |
