MacBook Pro (16-inch, 2021)
Geekbench ML Score
7872
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2024 09:56 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3583
670.4 IPS |
|
|
Image Classification (F16)
|
100% |
6676
1.25 KIPS |
|
|
Image Classification (I8)
|
99% |
7060
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1289
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3525
58.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
3496
58.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
31616
38.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
61258
74.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
63428
76.8 IPS |
|
|
Object Detection (F32)
|
100% |
2848
212.7 IPS |
|
|
Object Detection (F16)
|
100% |
4498
335.8 IPS |
|
|
Object Detection (I8)
|
97% |
2680
200.1 IPS |
|
|
Face Detection (F32)
|
100% |
11797
140.3 IPS |
|
|
Face Detection (F16)
|
97% |
10636
126.5 IPS |
|
|
Face Detection (I8)
|
96% |
10657
126.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
19139
148.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
37024
287.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
31152
241.6 IPS |
|
|
Style Transfer (F32)
|
100% |
45074
59.3 IPS |
|
|
Style Transfer (F16)
|
100% |
110881
145.9 IPS |
|
|
Style Transfer (I8)
|
100% |
117162
154.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6888
246.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17292
617.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16036
572.7 IPS |
|
|
Text Classification (F32)
|
100% |
458
657.8 IPS |
|
|
Text Classification (F16)
|
100% |
2003
2.88 KIPS |
|
|
Text Classification (I8)
|
96% |
1980
2.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
772
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2287
42.1 IPS |
|
|
Machine Translation (I8)
|
99% |
639
11.8 IPS |
