MacBook Pro (16-inch, 2024)
Geekbench AI Score
16777
Single Precision Score
18619
Half Precision Score
17202
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Omar-Muhamad |
| Upload Date | June 24 2025 01:31 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.46 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7694
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8264
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
7405
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14476
234.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15275
247.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14332
232.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56554
66.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
57088
66.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
56311
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
7014
556.3 IPS |
|
|
Object Detection (HP)
|
100% |
7668
608.2 IPS |
|
|
Object Detection (Q)
|
92% |
7018
560.2 IPS |
|
|
Face Detection (SP)
|
100% |
25645
304.7 IPS |
|
|
Face Detection (HP)
|
100% |
27762
329.9 IPS |
|
|
Face Detection (Q)
|
100% |
20972
249.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33128
255.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34856
268.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
31861
248.9 IPS |
|
|
Style Transfer (SP)
|
100% |
124072
159.5 IPS |
|
|
Style Transfer (HP)
|
100% |
131511
169.1 IPS |
|
|
Style Transfer (Q)
|
96% |
129558
167.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23422
864.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22567
833.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20115
742.7 IPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5182
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5123
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5634
97.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6091
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6065
104.8 IPS |
