MacBook Pro (16-inch, 2024)
Geekbench AI Score
5968
Single Precision Score
9195
Half Precision Score
7050
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | 3Dman |
| Upload Date | February 26 2025 08:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2128
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
3077
572.2 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3639
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3994
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19056
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32500
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24655
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
3900
310.4 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4830
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8047
95.6 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9005
69.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14913
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10476
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37285
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51853
66.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39197
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7152
264.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9750
360.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5364
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5436
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9232
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9230
159.5 IPS |
