MacBook Pro (14-inch, 2024)
Geekbench AI Score
4997
Single Precision Score
8047
Half Precision Score
6500
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 07:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2112
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.6 IPS |
|
|
Image Classification (Q)
|
96% |
2339
436.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3319
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3651
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10105
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19397
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16712
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
97% |
3854
306.9 IPS |
|
|
Object Detection (Q)
|
94% |
2773
221.1 IPS |
|
|
Face Detection (SP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7763
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4490
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8542
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14152
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9981
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24362
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38872
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31903
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6071
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5818
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5941
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4524
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7880
136.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8098
139.9 IPS |
