Mac16,11
Geekbench ML Score
15232
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 15 2024 01:26 PM |
| Views | 6 |
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 | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6883
1.29 KIPS |
|
|
Image Classification (F16)
|
100% |
16164
3.02 KIPS |
|
|
Image Classification (I8)
|
99% |
17298
3.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2987
49.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3652
61.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3651
61.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
52903
64.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
111318
134.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
112737
136.5 IPS |
|
|
Object Detection (F32)
|
100% |
5101
380.8 IPS |
|
|
Object Detection (F16)
|
100% |
8026
599.2 IPS |
|
|
Object Detection (I8)
|
97% |
4179
312.0 IPS |
|
|
Face Detection (F32)
|
100% |
18869
224.4 IPS |
|
|
Face Detection (F16)
|
97% |
25121
298.7 IPS |
|
|
Face Detection (I8)
|
96% |
25117
298.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
32386
251.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
62712
486.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
88884
689.3 IPS |
|
|
Style Transfer (F32)
|
100% |
113307
149.0 IPS |
|
|
Style Transfer (F16)
|
100% |
163251
214.7 IPS |
|
|
Style Transfer (I8)
|
100% |
156236
205.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14847
530.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
45459
1.62 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
39233
1.40 KIPS |
|
|
Text Classification (F32)
|
100% |
2695
3.87 KIPS |
|
|
Text Classification (F16)
|
100% |
4687
6.74 KIPS |
|
|
Text Classification (I8)
|
96% |
4688
6.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
1365
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2329
42.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1128
20.8 IPS |
