MacBook Pro (14-inch, 2024)
Geekbench AI Score
10323
Single Precision Score
11582
Half Precision Score
11268
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 12:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4536
843.6 IPS |
|
|
Image Classification (HP)
|
100% |
5247
975.9 IPS |
|
|
Image Classification (Q)
|
96% |
4766
890.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7680
124.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8589
139.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8274
134.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29141
34.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32813
38.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32239
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4951
392.7 IPS |
|
|
Object Detection (HP)
|
100% |
5508
436.9 IPS |
|
|
Object Detection (Q)
|
92% |
5123
408.9 IPS |
|
|
Face Detection (SP)
|
100% |
12686
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
17398
206.7 IPS |
|
|
Face Detection (Q)
|
100% |
13804
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21477
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24364
187.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
22213
173.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58401
75.1 IPS |
|
|
Style Transfer (HP)
|
100% |
70680
90.9 IPS |
|
|
Style Transfer (Q)
|
96% |
68135
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12833
473.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12993
479.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11231
414.7 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
5824
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3881
67.1 IPS |
