Mac16,6
Geekbench AI Score
5962
Single Precision Score
9133
Half Precision Score
7016
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pixelcort |
| Upload Date | November 28 2024 10:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2148
399.5 IPS |
|
|
Image Classification (HP)
|
100% |
3077
572.3 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3604
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3941
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19243
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32106
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24894
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2598
206.0 IPS |
|
|
Object Detection (HP)
|
97% |
3889
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4814
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8053
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
4694
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9068
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14705
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10319
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36806
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53335
68.6 IPS |
|
|
Style Transfer (Q)
|
96% |
40479
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7202
265.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9522
351.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5276
194.8 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5327
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6046
104.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9104
157.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9023
155.9 IPS |
