Mac16,10
Geekbench AI Score
4730
Single Precision Score
36346
Half Precision Score
51640
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2032
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
17083
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24830
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21338
345.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30243
490.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10055
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123995
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233214
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
100% |
18351
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26252
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
41326
491.0 IPS |
|
|
Face Detection (Q)
|
100% |
61461
730.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99088
763.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168686
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25448
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234420
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299420
386.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5804
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49462
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84728
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6214
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6142
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18160
313.8 IPS |
