MacBook Pro (16-inch, 2024)
Geekbench AI Score
16807
Single Precision Score
18979
Half Precision Score
17610
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 02 2026 09:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7969
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8318
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
7424
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14230
230.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15031
243.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14430
233.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
54506
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
59570
69.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57843
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
7004
555.6 IPS |
|
|
Object Detection (HP)
|
100% |
7685
609.6 IPS |
|
|
Object Detection (Q)
|
92% |
6951
554.9 IPS |
|
|
Face Detection (SP)
|
100% |
25524
303.3 IPS |
|
|
Face Detection (HP)
|
100% |
29634
352.1 IPS |
|
|
Face Detection (Q)
|
100% |
24363
289.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33944
261.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34710
267.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
31924
249.4 IPS |
|
|
Style Transfer (SP)
|
100% |
120199
154.5 IPS |
|
|
Style Transfer (HP)
|
100% |
134220
172.5 IPS |
|
|
Style Transfer (Q)
|
96% |
129871
167.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21020
776.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21336
787.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18474
682.1 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5675
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5931
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6340
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6338
109.5 IPS |
