MacBook Pro (13-inch, 2022)
Geekbench ML Score
3782
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 26 2024 04:32 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1319
246.9 IPS |
|
|
Image Classification (F16)
|
100% |
2411
451.2 IPS |
|
|
Image Classification (I8)
|
99% |
2391
447.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
783
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1120
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1141
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6414
7.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
14012
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13951
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1342
100.2 IPS |
|
|
Object Detection (F16)
|
100% |
2317
172.9 IPS |
|
|
Object Detection (I8)
|
97% |
1425
106.4 IPS |
|
|
Face Detection (F32)
|
100% |
3000
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5723
68.0 IPS |
|
|
Face Detection (I8)
|
97% |
5555
66.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5442
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10301
79.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10775
83.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17267
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26371
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26829
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4082
145.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4843
173.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4974
177.7 IPS |
|
|
Text Classification (F32)
|
100% |
2064
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3509
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3343
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1582
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1383
25.5 IPS |
