MacBook Pro (16-inch, 2024)
Geekbench AI Score
5375
Single Precision Score
8926
Half Precision Score
6980
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 10:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
3014
560.5 IPS |
|
|
Image Classification (Q)
|
96% |
2160
403.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3337
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3912
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17412
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31118
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24417
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2652
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
4639
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
7742
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4588
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8636
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14433
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10088
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25436
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50830
65.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38720
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5970
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10025
370.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5943
219.5 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5158
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5141
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5612
96.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9157
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9168
158.4 IPS |
