Mac16,11
Geekbench ML Score
10812
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 10:17 PM |
| Views | 2 |
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 | 4.51 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6576
1.23 KIPS |
|
|
Image Classification (F16)
|
100% |
6838
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
6857
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2989
49.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3231
54.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2916
48.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
52677
63.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
54702
66.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
54597
66.1 IPS |
|
|
Object Detection (F32)
|
100% |
4810
359.1 IPS |
|
|
Object Detection (F16)
|
100% |
5090
380.0 IPS |
|
|
Object Detection (I8)
|
97% |
4500
336.0 IPS |
|
|
Face Detection (F32)
|
100% |
20430
242.9 IPS |
|
|
Face Detection (F16)
|
98% |
20433
243.0 IPS |
|
|
Face Detection (I8)
|
97% |
20546
244.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
22804
176.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
22555
174.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
32433
251.5 IPS |
|
|
Style Transfer (F32)
|
100% |
115656
152.1 IPS |
|
|
Style Transfer (F16)
|
100% |
101035
132.9 IPS |
|
|
Style Transfer (I8)
|
100% |
122727
161.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14740
526.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13492
481.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
12950
462.5 IPS |
|
|
Text Classification (F32)
|
100% |
2690
3.87 KIPS |
|
|
Text Classification (F16)
|
100% |
4691
6.74 KIPS |
|
|
Text Classification (I8)
|
96% |
4674
6.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1355
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1384
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1185
21.8 IPS |
