MacBook Pro (16-inch, 2021)
Geekbench ML Score
8994
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 02:01 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.14 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% |
3909
731.5 IPS |
|
|
Image Classification (F16)
|
100% |
6539
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
7042
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1500
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1681
28.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1684
28.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
51950
62.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
65106
78.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
66109
80.1 IPS |
|
|
Object Detection (F32)
|
100% |
3365
251.2 IPS |
|
|
Object Detection (F16)
|
100% |
4282
319.7 IPS |
|
|
Object Detection (I8)
|
97% |
3227
240.9 IPS |
|
|
Face Detection (F32)
|
100% |
14606
173.7 IPS |
|
|
Face Detection (F16)
|
97% |
11211
133.3 IPS |
|
|
Face Detection (I8)
|
96% |
10535
125.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
24826
192.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
38299
297.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
35464
275.0 IPS |
|
|
Style Transfer (F32)
|
100% |
83886
110.3 IPS |
|
|
Style Transfer (F16)
|
100% |
107317
141.2 IPS |
|
|
Style Transfer (I8)
|
100% |
115901
152.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10634
379.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22882
817.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20948
748.1 IPS |
|
|
Text Classification (F32)
|
100% |
2014
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3480
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3480
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
830
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1145
21.1 IPS |
|
|
Machine Translation (I8)
|
99% |
731
13.4 IPS |
