MacBook Pro (14-inch, 2024)
Geekbench AI Score
10691
Single Precision Score
12781
Half Precision Score
11872
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 06:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4948
920.2 IPS |
|
|
Image Classification (HP)
|
100% |
5361
997.0 IPS |
|
|
Image Classification (Q)
|
96% |
4815
899.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7759
125.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8707
141.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8365
135.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29190
34.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33277
38.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32518
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4983
395.3 IPS |
|
|
Object Detection (HP)
|
100% |
5645
447.8 IPS |
|
|
Object Detection (Q)
|
92% |
5188
414.1 IPS |
|
|
Face Detection (SP)
|
100% |
12757
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
17308
205.7 IPS |
|
|
Face Detection (Q)
|
100% |
13857
164.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21645
166.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24456
188.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
22205
173.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59071
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
72334
93.0 IPS |
|
|
Style Transfer (Q)
|
96% |
71003
91.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12904
476.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13224
488.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11575
427.4 IPS |
|
|
Text Classification (SP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6000
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5920
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5000
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5464
94.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5472
94.6 IPS |
