MacBook Pro (16-inch, 2021)
Geekbench ML Score
7855
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 20 2024 04:35 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
3734
698.7 IPS |
|
|
Image Classification (F16)
|
100% |
6877
1.29 KIPS |
|
|
Image Classification (I8)
|
99% |
7212
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1180
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3294
55.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3439
57.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
31882
38.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
65383
79.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
65887
79.8 IPS |
|
|
Object Detection (F32)
|
100% |
2895
216.1 IPS |
|
|
Object Detection (F16)
|
100% |
4170
311.3 IPS |
|
|
Object Detection (I8)
|
97% |
2683
200.3 IPS |
|
|
Face Detection (F32)
|
100% |
11746
139.7 IPS |
|
|
Face Detection (F16)
|
97% |
10761
128.0 IPS |
|
|
Face Detection (I8)
|
96% |
10865
129.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16066
124.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
33248
257.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
32673
253.4 IPS |
|
|
Style Transfer (F32)
|
100% |
51810
68.2 IPS |
|
|
Style Transfer (F16)
|
100% |
112665
148.2 IPS |
|
|
Style Transfer (I8)
|
100% |
114575
150.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8397
299.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14761
527.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13943
498.0 IPS |
|
|
Text Classification (F32)
|
100% |
680
976.7 IPS |
|
|
Text Classification (F16)
|
100% |
2034
2.92 KIPS |
|
|
Text Classification (I8)
|
96% |
2058
2.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
601
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2403
44.2 IPS |
|
|
Machine Translation (I8)
|
99% |
571
10.5 IPS |
