MacBook Pro (14-inch, 2024)
Geekbench AI Score
13646
Single Precision Score
14329
Half Precision Score
14691
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cconway |
| Upload Date | November 17 2025 01:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 3.62 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4182
777.7 IPS |
|
|
Image Classification (HP)
|
100% |
3905
726.2 IPS |
|
|
Image Classification (Q)
|
96% |
6480
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12288
199.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12920
209.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12232
198.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
42812
50.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
47393
55.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46282
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
6622
525.3 IPS |
|
|
Object Detection (HP)
|
100% |
6953
551.5 IPS |
|
|
Object Detection (Q)
|
92% |
6193
494.4 IPS |
|
|
Face Detection (SP)
|
100% |
22569
268.2 IPS |
|
|
Face Detection (HP)
|
100% |
25443
302.3 IPS |
|
|
Face Detection (Q)
|
100% |
20735
246.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31181
240.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
32320
249.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
29573
231.0 IPS |
|
|
Style Transfer (SP)
|
100% |
98463
126.6 IPS |
|
|
Style Transfer (HP)
|
100% |
111372
143.2 IPS |
|
|
Style Transfer (Q)
|
96% |
107907
139.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16437
606.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17586
649.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14924
551.1 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
5761
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5735
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3641
62.9 IPS |
