Mac16,6
Geekbench AI Score
5975
Single Precision Score
9185
Half Precision Score
7019
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ebalog |
| Upload Date | November 09 2024 07:35 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
2141
398.1 IPS |
|
|
Image Classification (HP)
|
100% |
3085
573.6 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3556
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3967
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19171
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32467
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24778
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
97% |
3897
310.2 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4844
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8013
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4642
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9130
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15298
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10457
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37038
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52871
68.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39830
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7246
267.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9656
356.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5324
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5416
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5319
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6081
104.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9092
157.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9075
156.8 IPS |
