MacBook Pro (14-inch, 2021)
Geekbench ML Score
5118
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.17 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% |
3642
681.4 IPS |
|
|
Image Classification (F16)
|
100% |
3864
723.0 IPS |
|
|
Image Classification (I8)
|
99% |
3420
639.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1281
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1253
20.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1194
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
31437
38.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
32464
39.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
30503
36.9 IPS |
|
|
Object Detection (F32)
|
100% |
2580
192.6 IPS |
|
|
Object Detection (F16)
|
100% |
2750
205.3 IPS |
|
|
Object Detection (I8)
|
97% |
2518
188.0 IPS |
|
|
Face Detection (F32)
|
100% |
11263
133.9 IPS |
|
|
Face Detection (F16)
|
98% |
11678
138.9 IPS |
|
|
Face Detection (I8)
|
97% |
10674
126.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18793
145.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
19104
148.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
17579
136.3 IPS |
|
|
Style Transfer (F32)
|
100% |
51179
67.3 IPS |
|
|
Style Transfer (F16)
|
100% |
59402
78.1 IPS |
|
|
Style Transfer (I8)
|
100% |
57354
75.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6428
229.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7156
255.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7861
280.7 IPS |
|
|
Text Classification (F32)
|
100% |
670
963.2 IPS |
|
|
Text Classification (F16)
|
100% |
554
796.8 IPS |
|
|
Text Classification (I8)
|
96% |
509
730.8 IPS |
|
|
Machine Translation (F32)
|
100% |
735
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
740
13.6 IPS |
|
|
Machine Translation (I8)
|
99% |
639
11.8 IPS |
