Mac16,11
Geekbench ML Score
14910
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 06:56 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6562
1.23 KIPS |
|
|
Image Classification (F16)
|
100% |
15703
2.94 KIPS |
|
|
Image Classification (I8)
|
99% |
16817
3.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2845
47.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3607
60.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
3615
60.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
52554
63.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
111320
134.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
111511
135.0 IPS |
|
|
Object Detection (F32)
|
100% |
4583
342.2 IPS |
|
|
Object Detection (F16)
|
100% |
7839
585.2 IPS |
|
|
Object Detection (I8)
|
97% |
4538
338.8 IPS |
|
|
Face Detection (F32)
|
100% |
20591
244.8 IPS |
|
|
Face Detection (F16)
|
97% |
24685
293.5 IPS |
|
|
Face Detection (I8)
|
96% |
24680
293.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
30844
239.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
63513
492.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
61454
476.6 IPS |
|
|
Style Transfer (F32)
|
100% |
112896
148.5 IPS |
|
|
Style Transfer (F16)
|
100% |
162513
213.8 IPS |
|
|
Style Transfer (I8)
|
100% |
163356
214.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13007
464.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
39291
1.40 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
39965
1.43 KIPS |
|
|
Text Classification (F32)
|
100% |
2679
3.85 KIPS |
|
|
Text Classification (F16)
|
100% |
4726
6.79 KIPS |
|
|
Text Classification (I8)
|
96% |
4724
6.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2409
44.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1307
24.1 IPS |
