MacBook Pro (16-inch, 2021)
Geekbench ML Score
7965
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 07 2024 12:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4494
840.9 IPS |
|
|
Image Classification (F16)
|
100% |
6842
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7188
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1397
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1515
25.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1486
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
52178
63.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
61577
74.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
62390
75.6 IPS |
|
|
Object Detection (F32)
|
100% |
3492
260.7 IPS |
|
|
Object Detection (F16)
|
100% |
4474
334.0 IPS |
|
|
Object Detection (I8)
|
97% |
3201
238.9 IPS |
|
|
Face Detection (F32)
|
100% |
16562
196.9 IPS |
|
|
Face Detection (F16)
|
97% |
10742
127.7 IPS |
|
|
Face Detection (I8)
|
96% |
10826
128.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
24902
193.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
27574
213.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
28970
224.7 IPS |
|
|
Style Transfer (F32)
|
100% |
88383
116.3 IPS |
|
|
Style Transfer (F16)
|
100% |
107074
140.8 IPS |
|
|
Style Transfer (I8)
|
100% |
117582
154.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10433
372.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17076
609.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17531
626.1 IPS |
|
|
Text Classification (F32)
|
100% |
495
711.4 IPS |
|
|
Text Classification (F16)
|
100% |
1883
2.71 KIPS |
|
|
Text Classification (I8)
|
96% |
1874
2.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
810
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1211
22.3 IPS |
|
|
Machine Translation (I8)
|
99% |
684
12.6 IPS |
