MacBook Pro (16-inch, 2021)
Geekbench ML Score
8013
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 24 2024 08:17 PM |
| Views | 2 |
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% |
3629
679.1 IPS |
|
|
Image Classification (F16)
|
100% |
6858
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7431
1.39 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1244
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
3446
57.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
3360
56.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
31740
38.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
61593
74.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
62965
76.2 IPS |
|
|
Object Detection (F32)
|
100% |
2828
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
4525
337.8 IPS |
|
|
Object Detection (I8)
|
97% |
2689
200.8 IPS |
|
|
Face Detection (F32)
|
100% |
11864
141.1 IPS |
|
|
Face Detection (F16)
|
97% |
10752
127.8 IPS |
|
|
Face Detection (I8)
|
96% |
10816
128.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
19440
150.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
36363
282.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
35041
271.7 IPS |
|
|
Style Transfer (F32)
|
100% |
51261
67.4 IPS |
|
|
Style Transfer (F16)
|
100% |
111819
147.1 IPS |
|
|
Style Transfer (I8)
|
100% |
113711
149.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7701
275.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17531
626.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16693
596.2 IPS |
|
|
Text Classification (F32)
|
100% |
410
588.8 IPS |
|
|
Text Classification (F16)
|
100% |
1964
2.82 KIPS |
|
|
Text Classification (I8)
|
96% |
1999
2.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
829
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2491
45.8 IPS |
|
|
Machine Translation (I8)
|
99% |
692
12.7 IPS |
