MacBook Pro (14-inch, 2024)
Geekbench AI Score
4841
Single Precision Score
7909
Half Precision Score
6346
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 15 2025 12:45 PM |
| Views | 6 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
3350
623.0 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3341
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3677
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9986
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19432
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16686
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2723
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
4190
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7512
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4364
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8654
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14666
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10255
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21679
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38754
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31951
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5027
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5372
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4350
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7033
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7058
122.0 IPS |
