MacBook Pro (16-inch, 2024)
Geekbench AI Score
5756
Single Precision Score
9332
Half Precision Score
7186
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 03:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2162
402.1 IPS |
|
|
Image Classification (HP)
|
100% |
2952
549.1 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3395
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17211
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34043
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26790
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
3874
308.4 IPS |
|
|
Object Detection (Q)
|
94% |
2766
220.4 IPS |
|
|
Face Detection (SP)
|
100% |
5072
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
8569
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4817
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8807
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15182
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9648
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30654
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57585
74.0 IPS |
|
|
Style Transfer (Q)
|
96% |
43675
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9443
348.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5313
196.2 IPS |
|
|
Text Classification (SP)
|
100% |
3173
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5640
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5955
102.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9579
165.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9560
165.2 IPS |
