MacBook Pro (16-inch, 2024)
Geekbench AI Score
5958
Single Precision Score
9963
Half Precision Score
7655
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | h31nz3 |
| Upload Date | April 20 2026 06:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
3107
577.8 IPS |
|
|
Image Classification (Q)
|
96% |
2180
407.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3443
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3934
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15515
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33980
39.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26679
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
3917
311.8 IPS |
|
|
Object Detection (Q)
|
94% |
2765
220.4 IPS |
|
|
Face Detection (SP)
|
100% |
5189
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
8694
103.3 IPS |
|
|
Face Detection (Q)
|
100% |
4835
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8988
69.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15037
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10288
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29758
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
57756
74.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43923
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5588
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9507
351.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5402
199.5 IPS |
|
|
Text Classification (SP)
|
99% |
6130
8.18 KIPS |
|
|
Text Classification (HP)
|
99% |
9837
13.1 KIPS |
|
|
Text Classification (Q)
|
93% |
9689
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5689
98.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9588
165.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9557
165.2 IPS |
