Mac16,10
Geekbench AI Score
4690
Single Precision Score
36588
Half Precision Score
51544
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 08:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
17463
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25112
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21889
354.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30160
488.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9971
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123926
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233125
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
18818
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26475
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
39283
466.8 IPS |
|
|
Face Detection (Q)
|
100% |
55721
662.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8387
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99896
769.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170699
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25018
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234758
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300503
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5713
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50279
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86831
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6303
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6268
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3901
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16521
284.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18203
314.6 IPS |
