Mac16,3
Geekbench AI Score
7933
Single Precision Score
9440
Half Precision Score
8351
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 05:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,3 |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4495
836.0 IPS |
|
|
Image Classification (HP)
|
100% |
4823
897.0 IPS |
|
|
Image Classification (Q)
|
97% |
4157
775.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4861
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6604
107.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7148
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28070
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30078
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28593
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4741
376.0 IPS |
|
|
Object Detection (HP)
|
100% |
5220
414.0 IPS |
|
|
Object Detection (Q)
|
91% |
4423
353.4 IPS |
|
|
Face Detection (SP)
|
100% |
12665
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
15744
187.1 IPS |
|
|
Face Detection (Q)
|
100% |
11292
134.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20505
158.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22525
173.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19146
149.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55945
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67816
87.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63804
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11914
439.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12882
475.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10284
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5399
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5309
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
98% |
583
10.1 IPS |
