MacBook Pro (14-inch, 2024)
Geekbench AI Score
5375
Single Precision Score
9135
Half Precision Score
7084
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 05 2025 08:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.4 IPS |
|
|
Image Classification (Q)
|
96% |
2172
405.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3439
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3895
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17336
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32447
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24672
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
97% |
3884
309.2 IPS |
|
|
Object Detection (Q)
|
94% |
2732
217.7 IPS |
|
|
Face Detection (SP)
|
100% |
4736
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8115
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
4746
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8642
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15174
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10663
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25013
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52530
67.5 IPS |
|
|
Style Transfer (Q)
|
96% |
40466
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5957
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10035
370.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5705
210.7 IPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5253
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5239
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5602
96.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9010
155.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9126
157.7 IPS |
