MacBook Pro (14-inch, 2021)
Geekbench ML Score
6107
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 21 2024 01:56 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4044
756.7 IPS |
|
|
Image Classification (F16)
|
100% |
4033
754.8 IPS |
|
|
Image Classification (I8)
|
99% |
3494
653.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1630
27.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1666
27.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1590
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
43213
52.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
45947
55.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
44023
53.3 IPS |
|
|
Object Detection (F32)
|
100% |
3195
238.5 IPS |
|
|
Object Detection (F16)
|
100% |
3362
251.0 IPS |
|
|
Object Detection (I8)
|
97% |
2893
216.0 IPS |
|
|
Face Detection (F32)
|
100% |
13544
161.0 IPS |
|
|
Face Detection (F16)
|
98% |
14873
176.8 IPS |
|
|
Face Detection (I8)
|
97% |
13779
163.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
22794
176.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
23586
182.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
21137
163.9 IPS |
|
|
Style Transfer (F32)
|
100% |
75081
98.8 IPS |
|
|
Style Transfer (F16)
|
100% |
75517
99.3 IPS |
|
|
Style Transfer (I8)
|
100% |
73232
96.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11622
415.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10536
376.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9914
354.1 IPS |
|
|
Text Classification (F32)
|
100% |
381
547.9 IPS |
|
|
Text Classification (F16)
|
100% |
394
565.8 IPS |
|
|
Text Classification (I8)
|
96% |
531
762.4 IPS |
|
|
Machine Translation (F32)
|
100% |
805
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
812
15.0 IPS |
|
|
Machine Translation (I8)
|
99% |
680
12.5 IPS |
