MacBook Pro (14-inch, 2024)
Geekbench AI Score
14600
Single Precision Score
16395
Half Precision Score
15092
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | shreyansj |
| Upload Date | August 19 2025 01:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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% |
6716
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
7126
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
6630
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12182
197.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12733
206.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12256
198.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
44330
51.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
49446
57.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
47671
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
6580
521.9 IPS |
|
|
Object Detection (HP)
|
100% |
6968
552.7 IPS |
|
|
Object Detection (Q)
|
92% |
6604
527.2 IPS |
|
|
Face Detection (SP)
|
100% |
23503
279.3 IPS |
|
|
Face Detection (HP)
|
100% |
25761
306.1 IPS |
|
|
Face Detection (Q)
|
100% |
21150
251.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
30481
234.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
31833
245.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
29093
227.3 IPS |
|
|
Style Transfer (SP)
|
100% |
102090
131.2 IPS |
|
|
Style Transfer (HP)
|
100% |
113020
145.3 IPS |
|
|
Style Transfer (Q)
|
96% |
109210
140.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15765
582.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16724
617.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14770
545.4 IPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5354
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5373
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5107
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5409
93.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4495
77.7 IPS |
