Mac16,10
Geekbench AI Score
4512
Single Precision Score
36943
Half Precision Score
53089
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 10:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1923
357.7 IPS |
|
|
Image Classification (HP)
|
100% |
17892
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
26445
4.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21777
353.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30188
489.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9528
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123909
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233474
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
100% |
18950
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
27145
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
43358
515.2 IPS |
|
|
Face Detection (Q)
|
100% |
65301
775.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8067
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100052
770.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
172702
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24303
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233333
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301005
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50739
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87721
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6534
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6768
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15426
265.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17442
301.4 IPS |
