Mac16,10
Geekbench AI Score
4724
Single Precision Score
35758
Half Precision Score
50436
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Qetesh |
| Upload Date | November 20 2024 01:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
17435
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25116
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21898
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30211
489.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123752
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232360
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
18125
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25420
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3971
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
39045
463.9 IPS |
|
|
Face Detection (Q)
|
100% |
55542
660.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8416
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99601
767.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
169567
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25362
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233765
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299027
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5783
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49335
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86190
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5518
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3908
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16171
278.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17744
306.6 IPS |
