Mac16,3
Geekbench AI Score
4697
Single Precision Score
7718
Half Precision Score
6269
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ChiWah |
| Upload Date | November 05 2024 03:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A8332) |
| Model | Mac16,3 |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
3254
605.2 IPS |
|
|
Image Classification (Q)
|
96% |
2295
428.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3195
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3627
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9889
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18958
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16465
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
97% |
3732
297.1 IPS |
|
|
Object Detection (Q)
|
94% |
2709
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7386
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4361
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14595
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10218
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25339
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38300
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31693
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6788
250.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4766
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6872
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6904
119.3 IPS |
