Mac16,11
Geekbench ML Score
6255
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 06:42 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2066
386.5 IPS |
|
|
Image Classification (F16)
|
100% |
3024
565.8 IPS |
|
|
Image Classification (I8)
|
99% |
3034
567.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1698
28.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2069
34.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
2074
34.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
18245
22.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
30929
37.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
31069
37.6 IPS |
|
|
Object Detection (F32)
|
100% |
2242
167.3 IPS |
|
|
Object Detection (F16)
|
100% |
3187
237.9 IPS |
|
|
Object Detection (I8)
|
97% |
2253
168.2 IPS |
|
|
Face Detection (F32)
|
100% |
4595
54.6 IPS |
|
|
Face Detection (F16)
|
97% |
8018
95.3 IPS |
|
|
Face Detection (I8)
|
97% |
7975
94.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8952
69.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
15388
119.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
15327
118.9 IPS |
|
|
Style Transfer (F32)
|
100% |
35645
46.9 IPS |
|
|
Style Transfer (F16)
|
100% |
52302
68.8 IPS |
|
|
Style Transfer (I8)
|
100% |
51824
68.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7202
257.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9774
349.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9714
346.9 IPS |
|
|
Text Classification (F32)
|
100% |
2701
3.88 KIPS |
|
|
Text Classification (F16)
|
100% |
4738
6.81 KIPS |
|
|
Text Classification (I8)
|
96% |
4655
6.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1896
34.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2261
41.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1893
34.8 IPS |
