Mac16,5
Geekbench AI Score
5910
Single Precision Score
9030
Half Precision Score
7045
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 09:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.6 IPS |
|
|
Image Classification (HP)
|
100% |
3076
572.0 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3602
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3960
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19227
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32482
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24575
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2598
206.0 IPS |
|
|
Object Detection (HP)
|
97% |
3870
308.1 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
7818
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4583
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8713
67.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14119
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10402
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36673
47.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50290
64.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39750
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7178
265.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9667
357.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5674
209.5 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5382
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5335
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6052
104.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8967
154.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9160
158.3 IPS |
