Mac16,11
Geekbench ML Score
11124
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 06:48 AM |
| Views | 3 |
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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6561
1.23 KIPS |
|
|
Image Classification (F16)
|
100% |
6936
1.30 KIPS |
|
|
Image Classification (I8)
|
99% |
6921
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2857
47.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2929
48.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2876
48.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
52592
63.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
55097
66.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
54922
66.5 IPS |
|
|
Object Detection (F32)
|
100% |
4513
336.9 IPS |
|
|
Object Detection (F16)
|
100% |
5022
374.9 IPS |
|
|
Object Detection (I8)
|
97% |
4544
339.2 IPS |
|
|
Face Detection (F32)
|
100% |
20445
243.1 IPS |
|
|
Face Detection (F16)
|
98% |
21548
256.2 IPS |
|
|
Face Detection (I8)
|
97% |
21796
259.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
30976
240.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
33253
257.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
32258
250.2 IPS |
|
|
Style Transfer (F32)
|
100% |
111925
147.2 IPS |
|
|
Style Transfer (F16)
|
100% |
118787
156.3 IPS |
|
|
Style Transfer (I8)
|
100% |
126069
165.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12541
447.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14708
525.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14523
518.7 IPS |
|
|
Text Classification (F32)
|
100% |
2700
3.88 KIPS |
|
|
Text Classification (F16)
|
100% |
4705
6.76 KIPS |
|
|
Text Classification (I8)
|
96% |
4702
6.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
1331
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1348
24.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1284
23.6 IPS |
