MacBook Pro (16-inch, 2024)
Geekbench AI Score
16731
Single Precision Score
18876
Half Precision Score
17750
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 05:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7945
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8246
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
7761
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14202
230.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15022
243.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14420
233.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
54453
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59644
69.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57232
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
7034
557.9 IPS |
|
|
Object Detection (HP)
|
100% |
7338
582.0 IPS |
|
|
Object Detection (Q)
|
92% |
7120
568.4 IPS |
|
|
Face Detection (SP)
|
100% |
25801
306.6 IPS |
|
|
Face Detection (HP)
|
100% |
29529
350.9 IPS |
|
|
Face Detection (Q)
|
100% |
24708
293.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32909
253.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34900
268.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
32052
250.4 IPS |
|
|
Style Transfer (SP)
|
100% |
120244
154.6 IPS |
|
|
Style Transfer (HP)
|
100% |
133621
171.8 IPS |
|
|
Style Transfer (Q)
|
96% |
131176
169.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20635
762.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21174
781.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18565
685.5 IPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5773
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5943
102.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6295
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6301
108.9 IPS |
