MacBook Pro (14-inch, 2024)
Geekbench AI Score
5342
Single Precision Score
8940
Half Precision Score
6928
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | lorenzoceniccola |
| Upload Date | July 01 2025 08:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G5065c) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.17 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
3018
561.2 IPS |
|
|
Image Classification (Q)
|
96% |
2159
403.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3445
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3871
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17081
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32306
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24563
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.8 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2637
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
4644
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
7871
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4548
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14649
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10152
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25379
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51357
66.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39340
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5939
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9736
359.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5782
213.5 IPS |
|
|
Text Classification (SP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5143
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5111
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5611
96.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8675
149.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8778
151.7 IPS |
