MacBook Pro (14-inch, 2024)
Geekbench AI Score
16770
Single Precision Score
18448
Half Precision Score
17213
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | April 16 2026 03:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7144
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7620
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
7334
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12538
203.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13018
211.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12393
200.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
44481
51.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
49604
57.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
47709
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
6913
548.3 IPS |
|
|
Object Detection (HP)
|
100% |
6955
551.7 IPS |
|
|
Object Detection (Q)
|
91% |
6753
539.7 IPS |
|
|
Face Detection (SP)
|
100% |
25420
302.1 IPS |
|
|
Face Detection (HP)
|
100% |
27620
328.2 IPS |
|
|
Face Detection (Q)
|
100% |
24786
294.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
30638
236.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32042
246.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
29874
233.8 IPS |
|
|
Style Transfer (SP)
|
100% |
103658
133.3 IPS |
|
|
Style Transfer (HP)
|
100% |
113467
145.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110485
142.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17023
628.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16932
625.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15145
559.2 IPS |
|
|
Text Classification (SP)
|
100% |
6292
8.40 KIPS |
|
|
Text Classification (HP)
|
100% |
9734
13.0 KIPS |
|
|
Text Classification (Q)
|
92% |
9461
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
7389
127.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8062
138.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6654
115.0 IPS |
