MacBook Pro (16-inch, 2021)
Geekbench ML Score
2910
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 24 2024 06:38 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1238
231.7 IPS |
|
|
Image Classification (F16)
|
100% |
1576
294.9 IPS |
|
|
Image Classification (I8)
|
99% |
1574
294.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
724
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
701
11.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
685
11.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5357
6.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
12360
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12217
14.8 IPS |
|
|
Object Detection (F32)
|
100% |
1208
90.2 IPS |
|
|
Object Detection (F16)
|
100% |
1700
126.9 IPS |
|
|
Object Detection (I8)
|
97% |
1241
92.6 IPS |
|
|
Face Detection (F32)
|
100% |
2487
29.6 IPS |
|
|
Face Detection (F16)
|
97% |
3885
46.2 IPS |
|
|
Face Detection (I8)
|
97% |
3794
45.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4988
38.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7763
60.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
7788
60.4 IPS |
|
|
Style Transfer (F32)
|
100% |
14298
18.8 IPS |
|
|
Style Transfer (F16)
|
100% |
22283
29.3 IPS |
|
|
Style Transfer (I8)
|
100% |
22593
29.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3398
121.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4251
151.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4239
151.4 IPS |
|
|
Text Classification (F32)
|
100% |
2056
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3316
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3295
4.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
637
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
853
15.7 IPS |
|
|
Machine Translation (I8)
|
99% |
637
11.7 IPS |
