MacBook Pro (14-inch, 2024)
Geekbench AI Score
9219
Single Precision Score
11125
Half Precision Score
10001
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 04:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C103) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4682
870.6 IPS |
|
|
Image Classification (HP)
|
100% |
5003
930.3 IPS |
|
|
Image Classification (Q)
|
97% |
4394
820.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4918
79.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7031
114.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7612
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29831
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32197
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30559
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4997
396.4 IPS |
|
|
Object Detection (HP)
|
100% |
5430
430.7 IPS |
|
|
Object Detection (Q)
|
91% |
4688
374.6 IPS |
|
|
Face Detection (SP)
|
100% |
12854
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
16865
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
11997
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21361
164.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23716
182.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20297
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59823
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
72103
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
67946
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12538
463.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13698
505.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10623
392.3 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5392
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5369
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2216
38.3 IPS |
