Mac16,1
Geekbench AI Score
4777
Single Precision Score
7831
Half Precision Score
6339
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 05:42 AM |
| Views | 4 |
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 | 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
3302
614.1 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3367
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3755
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10023
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19025
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16552
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2752
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7443
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4446
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8363
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14758
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10315
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25361
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38513
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31890
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5854
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6639
245.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4796
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
3098
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3932
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6821
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6805
117.6 IPS |
