MacBook Pro (16-inch, 2024)
Geekbench AI Score
5937
Single Precision Score
9181
Half Precision Score
7124
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | erickrgb |
| Upload Date | December 14 2024 06:36 PM |
| Views | 11 |
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 | 4.46 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2144
398.7 IPS |
|
|
Image Classification (HP)
|
100% |
3084
573.6 IPS |
|
|
Image Classification (Q)
|
96% |
2180
407.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2557
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3699
60.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3975
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19190
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31717
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24883
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.1 IPS |
|
|
Object Detection (HP)
|
97% |
3890
309.7 IPS |
|
|
Object Detection (Q)
|
94% |
2711
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
4756
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8236
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
4698
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8869
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14743
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10480
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36998
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52280
67.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40019
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7183
265.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9676
357.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5942
219.4 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5376
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5356
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6063
104.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9160
158.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9194
158.9 IPS |
