MacBook Pro 16" M4 Max Mac16,5
Geekbench AI Score
5853
Single Precision Score
9046
Half Precision Score
7000
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Technoguide |
| Upload Date | November 09 2024 05:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
3047
566.7 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3981
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19052
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31535
36.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24615
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2535
201.0 IPS |
|
|
Object Detection (HP)
|
97% |
3884
309.2 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4660
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8122
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
4672
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8982
69.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14701
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10302
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35958
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50304
64.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39604
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7114
262.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9625
355.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5406
199.6 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5338
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5975
102.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8918
154.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8900
153.8 IPS |
