MacBook Pro M4 Base (14-inch, 2024) - NPU AI Test MacBook Pro (14-inch, 2024)
Geekbench AI Score
4876
Single Precision Score
37379
Half Precision Score
53232
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dewasiuk |
| Upload Date | September 18 2025 08:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
18277
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
29128
5.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22135
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30265
490.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9948
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123203
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232299
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
19121
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26453
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4277
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
44395
527.5 IPS |
|
|
Face Detection (Q)
|
100% |
63831
758.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8711
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99888
769.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169445
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21619
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234486
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
299405
386.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50153
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86878
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6514
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6410
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16450
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18702
323.2 IPS |
