Mac16,10
Geekbench AI Score
4691
Single Precision Score
37740
Half Precision Score
54025
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | vinebeat |
| Upload Date | November 23 2024 09:18 AM |
| Views | 18 |
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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
18288
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
26934
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21861
354.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30214
489.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124040
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233118
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
18997
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27030
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3909
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
44418
527.8 IPS |
|
|
Face Detection (Q)
|
100% |
64105
761.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8304
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100100
771.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
171362
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25333
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
235018
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300192
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50475
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88698
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
7214
9.63 KIPS |
|
|
Text Classification (Q)
|
93% |
7634
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3864
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16354
281.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18501
319.7 IPS |
