Mac16,1
Geekbench AI Score
4749
Single Precision Score
7802
Half Precision Score
6314
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 05:44 AM |
| Views | 2 |
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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
3301
613.9 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3362
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3733
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19073
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16531
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2737
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7471
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4413
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8336
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14642
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10271
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25210
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38424
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31839
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5814
214.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6654
245.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4806
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5409
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3871
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6842
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6839
118.2 IPS |
