MacBook Pro (14-inch, 2024)
Geekbench AI Score
5149
Single Precision Score
8504
Half Precision Score
6816
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 25 2026 11:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
2101
390.8 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.1 IPS |
|
|
Image Classification (Q)
|
96% |
2343
437.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3374
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3646
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8819
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19420
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16629
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3836
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2772
221.0 IPS |
|
|
Face Detection (SP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
7777
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4478
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8164
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14099
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9925
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22720
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39433
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32307
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5261
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6889
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4914
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
6447
8.61 KIPS |
|
|
Text Classification (HP)
|
99% |
10322
13.8 KIPS |
|
|
Text Classification (Q)
|
92% |
10252
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
4489
77.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7560
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7605
131.4 IPS |
