MacBook Pro (14-inch, 2024)
Geekbench AI Score
5365
Single Precision Score
9029
Half Precision Score
6997
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 07:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3030
563.5 IPS |
|
|
Image Classification (Q)
|
96% |
2184
407.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3588
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3924
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17191
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32179
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24475
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4649
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
7791
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4662
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8655
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14277
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10352
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25292
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
50227
64.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39518
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5985
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10048
371.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5597
206.7 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5313
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5181
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5588
96.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9070
156.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9124
157.7 IPS |
