MacBook Pro (16-inch, 2024)
Geekbench AI Score
5771
Single Precision Score
8979
Half Precision Score
6884
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zensage42 |
| Upload Date | December 23 2024 04:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 4.15 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2127
395.5 IPS |
|
|
Image Classification (HP)
|
100% |
3091
574.8 IPS |
|
|
Image Classification (Q)
|
96% |
2114
394.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3509
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3812
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18890
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31928
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24640
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
97% |
3904
310.8 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
7773
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4451
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14453
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9824
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36392
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50284
64.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38426
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7140
263.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9601
354.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5764
212.8 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5214
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5173
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5722
98.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8917
154.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8954
154.7 IPS |
