MacBook Pro (14-inch, 2024)
Geekbench AI Score
4560
Single Precision Score
7507
Half Precision Score
5946
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 12:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1884
350.3 IPS |
|
|
Image Classification (HP)
|
100% |
3106
577.7 IPS |
|
|
Image Classification (Q)
|
96% |
2099
392.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2998
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3309
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9195
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18570
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15627
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3498
278.5 IPS |
|
|
Object Detection (Q)
|
94% |
2436
194.2 IPS |
|
|
Face Detection (SP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
6865
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3958
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7851
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
12916
99.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9031
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20871
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36464
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29719
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5660
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7329
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7271
125.6 IPS |
