Mac16,5
Geekbench AI Score
5951
Single Precision Score
9165
Half Precision Score
7047
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:32 PM |
| Views | 2 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
3086
573.9 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2575
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3945
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19249
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31582
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24875
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
97% |
3923
312.3 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8085
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
4685
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9086
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14677
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10375
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36588
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
51606
66.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39575
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7266
268.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9647
356.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5444
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6037
104.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9152
158.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9082
156.9 IPS |
