MacBook Pro (14-inch, 2024)
Geekbench AI Score
5489
Single Precision Score
9360
Half Precision Score
7329
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tomhumphrey |
| Upload Date | March 25 2026 07:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
1888
351.1 IPS |
|
|
Image Classification (HP)
|
100% |
3063
569.7 IPS |
|
|
Image Classification (Q)
|
96% |
2107
393.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3428
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3739
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14118
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31507
36.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26027
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
2528
200.5 IPS |
|
|
Object Detection (HP)
|
97% |
3691
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2594
206.8 IPS |
|
|
Face Detection (SP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
8239
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
4674
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8477
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14100
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10062
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25749
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54589
70.2 IPS |
|
|
Style Transfer (Q)
|
96% |
41254
53.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5467
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9008
332.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5700
210.5 IPS |
|
|
Text Classification (SP)
|
99% |
5746
7.67 KIPS |
|
|
Text Classification (HP)
|
99% |
8637
11.5 KIPS |
|
|
Text Classification (Q)
|
93% |
8889
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5047
86.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8573
148.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8556
147.9 IPS |
