MacBook Pro (13-inch, 2022)
Geekbench ML Score
3789
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 10 2024 04:48 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 3.38 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% |
1300
243.2 IPS |
|
|
Image Classification (F16)
|
100% |
2380
445.3 IPS |
|
|
Image Classification (I8)
|
99% |
2397
448.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
819
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1004
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6276
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
13883
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13983
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1439
107.5 IPS |
|
|
Object Detection (F16)
|
100% |
2479
185.1 IPS |
|
|
Object Detection (I8)
|
97% |
1434
107.0 IPS |
|
|
Face Detection (F32)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5809
69.1 IPS |
|
|
Face Detection (I8)
|
97% |
5647
67.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5458
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11632
90.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11620
90.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18007
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26864
35.3 IPS |
|
|
Style Transfer (I8)
|
100% |
26994
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4174
149.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4954
176.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4951
176.8 IPS |
|
|
Text Classification (F32)
|
100% |
1772
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
3264
4.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3165
4.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1637
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1332
24.5 IPS |
