MacBook Pro (16-inch, 2021)
Geekbench ML Score
7845
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 03 2024 02:19 AM |
| Views | 2 |
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 | 3.21 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% |
3815
714.0 IPS |
|
|
Image Classification (F16)
|
100% |
6795
1.27 KIPS |
|
|
Image Classification (I8)
|
99% |
7239
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3474
58.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3398
56.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
31675
38.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
62894
76.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
60450
73.2 IPS |
|
|
Object Detection (F32)
|
100% |
2891
215.8 IPS |
|
|
Object Detection (F16)
|
100% |
4187
312.6 IPS |
|
|
Object Detection (I8)
|
97% |
2702
201.7 IPS |
|
|
Face Detection (F32)
|
100% |
11673
138.8 IPS |
|
|
Face Detection (F16)
|
97% |
10707
127.3 IPS |
|
|
Face Detection (I8)
|
96% |
10454
124.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
19722
152.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
35954
278.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
29546
229.1 IPS |
|
|
Style Transfer (F32)
|
100% |
50163
66.0 IPS |
|
|
Style Transfer (F16)
|
100% |
111954
147.3 IPS |
|
|
Style Transfer (I8)
|
100% |
113126
148.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8153
291.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17498
624.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13322
475.8 IPS |
|
|
Text Classification (F32)
|
100% |
631
907.1 IPS |
|
|
Text Classification (F16)
|
100% |
2010
2.89 KIPS |
|
|
Text Classification (I8)
|
96% |
2119
3.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
598
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2408
44.3 IPS |
|
|
Machine Translation (I8)
|
99% |
574
10.6 IPS |
