MacBook Pro M4 Mac16,1
Geekbench AI Score
4760
Single Precision Score
7828
Half Precision Score
6344
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MaybeHS |
| Upload Date | November 09 2024 06:03 PM |
| Views | 44 |
| Notes | Mac16,1 |
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% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
3276
609.2 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3392
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3778
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19009
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16571
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2754
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7456
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4508
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8412
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14805
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10356
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25447
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38656
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32073
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5769
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6657
245.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4811
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5547
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5398
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6836
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6817
117.8 IPS |
