Mac16,5
Geekbench AI Score
6003
Single Precision Score
9251
Half Precision Score
7073
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ramphex |
| Upload Date | November 12 2024 07:30 AM |
| Views | 7 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2148
399.5 IPS |
|
|
Image Classification (HP)
|
100% |
3089
574.4 IPS |
|
|
Image Classification (Q)
|
96% |
2206
411.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2585
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3656
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3957
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19341
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32590
38.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24939
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2584
205.0 IPS |
|
|
Object Detection (HP)
|
97% |
3914
311.6 IPS |
|
|
Object Detection (Q)
|
94% |
2714
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
4870
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8199
97.4 IPS |
|
|
Face Detection (Q)
|
100% |
4735
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9118
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14823
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10297
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36716
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
53527
68.8 IPS |
|
|
Style Transfer (Q)
|
96% |
40043
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7219
266.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9698
358.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5460
201.6 IPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5420
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6231
107.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9285
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9192
158.9 IPS |
