MacBook Pro (14-inch, 2021)
Geekbench ML Score
6512
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | January 05 2025 01:43 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3583
670.5 IPS |
|
|
Image Classification (F16)
|
100% |
3593
672.3 IPS |
|
|
Image Classification (I8)
|
99% |
3659
684.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1405
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1395
23.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1413
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
30147
36.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
32285
39.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
32289
39.1 IPS |
|
|
Object Detection (F32)
|
100% |
2886
215.5 IPS |
|
|
Object Detection (F16)
|
100% |
2988
223.1 IPS |
|
|
Object Detection (I8)
|
97% |
2897
216.3 IPS |
|
|
Face Detection (F32)
|
100% |
11605
138.0 IPS |
|
|
Face Detection (F16)
|
98% |
12046
143.2 IPS |
|
|
Face Detection (I8)
|
97% |
12062
143.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
18805
145.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
19861
154.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
18921
146.7 IPS |
|
|
Style Transfer (F32)
|
100% |
50241
66.1 IPS |
|
|
Style Transfer (F16)
|
100% |
60120
79.1 IPS |
|
|
Style Transfer (I8)
|
100% |
59690
78.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8960
320.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9717
347.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9408
336.0 IPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3553
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3545
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
813
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
815
15.0 IPS |
|
|
Machine Translation (I8)
|
99% |
817
15.0 IPS |
