MacBook Pro (16-inch, 2024)
Geekbench AI Score
5593
Single Precision Score
9265
Half Precision Score
7078
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Bearco |
| Upload Date | May 29 2025 03:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
3088
574.2 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3615
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3957
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17942
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32912
38.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24851
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
97% |
3793
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4900
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
8014
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4677
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8847
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14923
115.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10480
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26389
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53226
68.4 IPS |
|
|
Style Transfer (Q)
|
96% |
40359
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10177
375.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5538
204.5 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5454
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5360
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6140
105.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9472
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9240
159.7 IPS |
