MacBook Pro (14-inch, 2021)
Geekbench ML Score
5179
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3639
680.9 IPS |
|
|
Image Classification (F16)
|
100% |
3678
688.3 IPS |
|
|
Image Classification (I8)
|
99% |
3216
601.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1398
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1221
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1361
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
31279
37.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
32783
39.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
31418
38.0 IPS |
|
|
Object Detection (F32)
|
100% |
2823
210.8 IPS |
|
|
Object Detection (F16)
|
100% |
2803
209.2 IPS |
|
|
Object Detection (I8)
|
97% |
2570
191.9 IPS |
|
|
Face Detection (F32)
|
100% |
11140
132.5 IPS |
|
|
Face Detection (F16)
|
98% |
12262
145.8 IPS |
|
|
Face Detection (I8)
|
97% |
11508
136.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
18894
146.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
19592
151.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
17553
136.1 IPS |
|
|
Style Transfer (F32)
|
100% |
49105
64.6 IPS |
|
|
Style Transfer (F16)
|
100% |
55056
72.4 IPS |
|
|
Style Transfer (I8)
|
100% |
60275
79.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6453
230.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8566
305.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7473
266.9 IPS |
|
|
Text Classification (F32)
|
100% |
494
709.5 IPS |
|
|
Text Classification (F16)
|
100% |
492
707.7 IPS |
|
|
Text Classification (I8)
|
96% |
585
840.3 IPS |
|
|
Machine Translation (F32)
|
100% |
776
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
792
14.6 IPS |
|
|
Machine Translation (I8)
|
99% |
680
12.5 IPS |
