MacBook Pro (16-inch, 2024)
Geekbench AI Score
5499
Single Precision Score
9093
Half Precision Score
7062
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 12:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 3.85 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1829
340.2 IPS |
|
|
Image Classification (HP)
|
100% |
2742
509.9 IPS |
|
|
Image Classification (Q)
|
96% |
2156
402.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3228
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3734
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15569
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33790
39.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25726
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
97% |
3866
307.8 IPS |
|
|
Object Detection (Q)
|
94% |
2722
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4899
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
8367
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
4691
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8702
67.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14368
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9393
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30270
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56696
72.9 IPS |
|
|
Style Transfer (Q)
|
96% |
43657
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7079
261.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9485
350.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5668
209.3 IPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5464
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5393
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5894
101.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9465
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9313
160.9 IPS |
