MacBook Pro (14-inch, 2024)
Geekbench AI Score
5143
Single Precision Score
8556
Half Precision Score
6783
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 05:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.8 IPS |
|
|
Image Classification (Q)
|
96% |
2366
441.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3433
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3638
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8803
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19388
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16575
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
97% |
3848
306.3 IPS |
|
|
Object Detection (Q)
|
94% |
2746
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
4488
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
7605
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4446
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8132
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14037
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9930
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22841
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39356
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32193
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7070
261.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4921
181.7 IPS |
|
|
Text Classification (SP)
|
99% |
6356
8.48 KIPS |
|
|
Text Classification (HP)
|
99% |
10787
14.4 KIPS |
|
|
Text Classification (Q)
|
92% |
10560
14.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4510
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7554
130.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7131
123.2 IPS |
