MacBook Pro (16-inch, 2024)
Geekbench AI Score
5970
Single Precision Score
9229
Half Precision Score
7075
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | aboudesidaoui |
| Upload Date | January 06 2025 01:44 AM |
| Views | 2 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2139
397.7 IPS |
|
|
Image Classification (HP)
|
100% |
3091
574.7 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3670
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3983
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19238
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32414
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24868
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2599
206.1 IPS |
|
|
Object Detection (HP)
|
97% |
3893
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8096
96.2 IPS |
|
|
Face Detection (Q)
|
100% |
4698
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8879
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14898
115.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10443
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37171
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52740
67.8 IPS |
|
|
Style Transfer (Q)
|
96% |
40496
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7277
268.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9856
363.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5387
198.9 IPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5403
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5389
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6093
105.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9252
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9220
159.3 IPS |
