MacBook Pro (16-inch, 2021)
Geekbench ML Score
4931
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2024 02:31 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.2 (Build 23B92) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3639
681.0 IPS |
|
|
Image Classification (F16)
|
100% |
3640
681.1 IPS |
|
|
Image Classification (I8)
|
99% |
3206
600.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1230
20.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1194
19.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1154
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
31060
37.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
32209
39.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
31589
38.3 IPS |
|
|
Object Detection (F32)
|
100% |
2675
199.7 IPS |
|
|
Object Detection (F16)
|
100% |
2685
200.5 IPS |
|
|
Object Detection (I8)
|
97% |
2439
182.1 IPS |
|
|
Face Detection (F32)
|
100% |
10672
126.9 IPS |
|
|
Face Detection (F16)
|
97% |
11499
136.7 IPS |
|
|
Face Detection (I8)
|
96% |
10753
127.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18650
144.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
19248
149.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
17389
134.9 IPS |
|
|
Style Transfer (F32)
|
100% |
50041
65.8 IPS |
|
|
Style Transfer (F16)
|
100% |
59121
77.8 IPS |
|
|
Style Transfer (I8)
|
100% |
55280
72.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8193
292.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8082
288.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8427
301.0 IPS |
|
|
Text Classification (F32)
|
100% |
398
572.5 IPS |
|
|
Text Classification (F16)
|
100% |
428
615.0 IPS |
|
|
Text Classification (I8)
|
96% |
404
580.7 IPS |
|
|
Machine Translation (F32)
|
100% |
706
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
690
12.7 IPS |
|
|
Machine Translation (I8)
|
99% |
615
11.3 IPS |
