MacBook Pro (14-inch, 2024)
Geekbench AI Score
5804
Single Precision Score
9332
Half Precision Score
7184
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2152
400.2 IPS |
|
|
Image Classification (HP)
|
100% |
3028
563.1 IPS |
|
|
Image Classification (Q)
|
96% |
2150
401.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3508
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17423
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34023
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26762
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
97% |
3875
308.5 IPS |
|
|
Object Detection (Q)
|
94% |
2758
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
5095
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
8561
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4834
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8812
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15044
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9682
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30604
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
57653
74.1 IPS |
|
|
Style Transfer (Q)
|
96% |
43795
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7026
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9424
348.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5375
198.5 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5363
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6037
104.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9541
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9591
165.7 IPS |
