MacBook Pro (13-inch, 2022)
Geekbench ML Score
3796
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 13 2024 07:37 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 | 3.30 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% |
1307
244.6 IPS |
|
|
Image Classification (F16)
|
100% |
2366
442.7 IPS |
|
|
Image Classification (I8)
|
99% |
2379
445.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
853
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1121
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1012
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6288
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
13909
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14214
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1431
106.8 IPS |
|
|
Object Detection (F16)
|
100% |
2479
185.1 IPS |
|
|
Object Detection (I8)
|
97% |
1362
101.7 IPS |
|
|
Face Detection (F32)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5769
68.6 IPS |
|
|
Face Detection (I8)
|
97% |
5505
65.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5629
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11604
90.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11654
90.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17370
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27018
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
28360
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4121
147.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4937
176.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4880
174.3 IPS |
|
|
Text Classification (F32)
|
100% |
1953
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
2992
4.30 KIPS |
|
|
Text Classification (I8)
|
96% |
3413
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1324
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1639
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1339
24.6 IPS |
