Mac16,1
Geekbench AI Score
9248
Single Precision Score
11150
Half Precision Score
9795
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 06:12 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 | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4586
852.8 IPS |
|
|
Image Classification (HP)
|
100% |
5008
931.3 IPS |
|
|
Image Classification (Q)
|
97% |
4383
818.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4935
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7046
114.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7747
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29872
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32155
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30579
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5015
397.8 IPS |
|
|
Object Detection (HP)
|
100% |
5454
432.6 IPS |
|
|
Object Detection (Q)
|
91% |
4648
371.4 IPS |
|
|
Face Detection (SP)
|
100% |
13024
154.8 IPS |
|
|
Face Detection (HP)
|
100% |
16912
201.0 IPS |
|
|
Face Detection (Q)
|
100% |
12458
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21535
165.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23725
182.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19936
155.8 IPS |
|
|
Style Transfer (SP)
|
100% |
60075
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72139
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
67920
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12392
457.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13704
506.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10798
398.7 IPS |
|
|
Text Classification (SP)
|
100% |
3101
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5390
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5399
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1714
29.6 IPS |
