MacBook Pro (16-inch, 2024)
Geekbench AI Score
5657
Single Precision Score
9296
Half Precision Score
7185
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 02 2026 09:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.24 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2150
399.8 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.1 IPS |
|
|
Image Classification (Q)
|
96% |
2184
407.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3431
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3880
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15921
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33914
39.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25946
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
97% |
3885
309.3 IPS |
|
|
Object Detection (Q)
|
94% |
2751
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8404
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4767
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8761
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14889
115.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10087
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30473
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
57011
73.3 IPS |
|
|
Style Transfer (Q)
|
96% |
43611
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7132
263.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9272
342.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5385
198.8 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5565
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5982
103.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9612
166.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9658
166.9 IPS |
