Mac16,6
Geekbench AI Score
5953
Single Precision Score
9133
Half Precision Score
7035
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2136
397.2 IPS |
|
|
Image Classification (HP)
|
100% |
3071
571.2 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3980
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19263
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32259
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24923
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
97% |
3889
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8039
95.5 IPS |
|
|
Face Detection (Q)
|
100% |
4657
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8943
68.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14941
115.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10724
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37210
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53332
68.6 IPS |
|
|
Style Transfer (Q)
|
96% |
40062
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7213
266.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9626
355.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5360
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5281
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6032
103.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8972
155.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8921
154.2 IPS |
