MacBook Pro (16-inch, 2024)
Geekbench AI Score
5920
Single Precision Score
9161
Half Precision Score
6980
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nithinmohantk |
| Upload Date | April 03 2025 10:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.21 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3033
564.0 IPS |
|
|
Image Classification (Q)
|
96% |
2155
402.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3572
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3912
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18402
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31732
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24708
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.7 IPS |
|
|
Object Detection (HP)
|
97% |
3908
311.2 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8263
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
4666
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9102
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14868
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10443
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37009
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52374
67.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38912
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7203
266.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9725
359.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5318
196.4 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5495
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5336
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6151
106.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9013
155.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9006
155.6 IPS |
