MacBook Pro (14-inch, 2024)
Geekbench AI Score
14158
Single Precision Score
15792
Half Precision Score
14554
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cconway |
| Upload Date | April 18 2025 08:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 4.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6754
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7242
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
6635
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12158
197.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12776
207.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12050
195.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
45328
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
46913
54.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
46037
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
6437
510.6 IPS |
|
|
Object Detection (HP)
|
100% |
6876
545.4 IPS |
|
|
Object Detection (Q)
|
92% |
6412
511.8 IPS |
|
|
Face Detection (SP)
|
100% |
22779
270.7 IPS |
|
|
Face Detection (HP)
|
100% |
25338
301.1 IPS |
|
|
Face Detection (Q)
|
100% |
20331
241.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30851
237.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
31576
243.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
28995
226.5 IPS |
|
|
Style Transfer (SP)
|
100% |
102164
131.3 IPS |
|
|
Style Transfer (HP)
|
100% |
109827
141.2 IPS |
|
|
Style Transfer (Q)
|
96% |
107637
138.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17860
659.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18322
676.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15280
564.2 IPS |
|
|
Text Classification (SP)
|
100% |
2849
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5135
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5050
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3912
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3692
63.8 IPS |
