MacBook Pro (13-inch, 2022)
Geekbench ML Score
3770
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 24 2024 04:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1373
256.9 IPS |
|
|
Image Classification (F16)
|
100% |
2492
466.3 IPS |
|
|
Image Classification (I8)
|
99% |
2360
441.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
799
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1001
16.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1164
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5541
6.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
13206
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14001
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1421
106.1 IPS |
|
|
Object Detection (F16)
|
100% |
2318
173.0 IPS |
|
|
Object Detection (I8)
|
97% |
1361
101.6 IPS |
|
|
Face Detection (F32)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5635
67.0 IPS |
|
|
Face Detection (I8)
|
97% |
5478
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5398
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11473
89.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11554
89.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18066
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27223
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28024
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4209
150.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4950
176.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4866
173.8 IPS |
|
|
Text Classification (F32)
|
100% |
1948
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3230
4.64 KIPS |
|
|
Text Classification (I8)
|
96% |
3223
4.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1390
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1583
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1378
25.4 IPS |
