Mac16,1
Geekbench AI Score
2561
Single Precision Score
4250
Half Precision Score
3359
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1055
196.2 IPS |
|
|
Image Classification (HP)
|
100% |
1757
326.8 IPS |
|
|
Image Classification (Q)
|
96% |
1174
219.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1901
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5123
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
10084
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8719
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1195
94.8 IPS |
|
|
Object Detection (HP)
|
97% |
2003
159.4 IPS |
|
|
Object Detection (Q)
|
94% |
1406
112.0 IPS |
|
|
Face Detection (SP)
|
100% |
2049
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
3793
45.1 IPS |
|
|
Face Detection (Q)
|
100% |
2268
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4416
34.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7757
60.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5345
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13486
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20465
26.3 IPS |
|
|
Style Transfer (Q)
|
96% |
16641
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3283
121.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3733
137.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2627
97.0 IPS |
|
|
Text Classification (SP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2923
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4337
74.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4326
74.8 IPS |
