MacBook Pro (13-inch, 2022)
Geekbench ML Score
3742
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 04:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 3.48 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% |
1354
253.4 IPS |
|
|
Image Classification (F16)
|
100% |
2396
448.4 IPS |
|
|
Image Classification (I8)
|
99% |
2278
426.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
609
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1010
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6540
7.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
14252
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13851
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1367
102.0 IPS |
|
|
Object Detection (F16)
|
100% |
2335
174.3 IPS |
|
|
Object Detection (I8)
|
97% |
1362
101.7 IPS |
|
|
Face Detection (F32)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (F16)
|
97% |
5885
70.0 IPS |
|
|
Face Detection (I8)
|
97% |
5850
69.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5529
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11655
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11614
90.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18104
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27276
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27903
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4182
149.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4961
177.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4821
172.2 IPS |
|
|
Text Classification (F32)
|
100% |
1987
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3351
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3353
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1365
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1640
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1372
25.2 IPS |
