MacBook Pro 16" M4 Max 16/40 Cores Mac16,5
Geekbench AI Score
5962
Single Precision Score
9221
Half Precision Score
7064
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Heinsen |
| Upload Date | November 14 2024 11:46 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,5 |
| 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% |
2156
401.0 IPS |
|
|
Image Classification (HP)
|
100% |
3109
578.1 IPS |
|
|
Image Classification (Q)
|
96% |
2211
412.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3938
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19255
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32677
38.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25076
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.3 IPS |
|
|
Object Detection (HP)
|
97% |
3901
310.6 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8194
97.4 IPS |
|
|
Face Detection (Q)
|
100% |
4752
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8807
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14878
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10611
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37229
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52209
67.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39823
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7290
269.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9815
362.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5405
199.6 IPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5412
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6080
104.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9121
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9021
155.9 IPS |
