Mac16,5
Geekbench AI Score
5944
Single Precision Score
9139
Half Precision Score
7013
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | TrickyGizmo |
| Upload Date | November 14 2024 06:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
3093
575.3 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3631
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3972
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19303
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31765
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24638
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2588
205.3 IPS |
|
|
Object Detection (HP)
|
97% |
3909
311.2 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4774
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8045
95.6 IPS |
|
|
Face Detection (Q)
|
100% |
4701
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8793
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14588
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10355
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36707
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52835
67.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39518
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7257
268.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9749
360.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5418
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5248
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5228
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
6123
105.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9192
158.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9139
157.9 IPS |
