MacBook Pro (14-inch, 2024)
Geekbench AI Score
4788
Single Precision Score
7948
Half Precision Score
6329
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Peter_ma |
| Upload Date | September 07 2025 10:43 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.3 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3291
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3544
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9797
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19355
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16577
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4112
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
7495
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4331
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8562
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14525
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10127
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20812
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38852
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31905
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7347
271.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5095
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7165
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7221
124.8 IPS |
