MacBook Pro (13-inch, 2022)
Geekbench ML Score
3722
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 03 2025 06:53 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.46 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% |
1132
211.9 IPS |
|
|
Image Classification (F16)
|
100% |
2238
418.8 IPS |
|
|
Image Classification (I8)
|
99% |
2172
406.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
738
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1011
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1073
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6409
7.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
13852
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13950
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1325
98.9 IPS |
|
|
Object Detection (F16)
|
100% |
1991
148.6 IPS |
|
|
Object Detection (I8)
|
97% |
1340
100.0 IPS |
|
|
Face Detection (F32)
|
100% |
2990
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5744
68.3 IPS |
|
|
Face Detection (I8)
|
97% |
5744
68.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5642
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11542
89.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11242
87.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17983
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27826
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28032
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4113
146.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4894
174.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5015
179.1 IPS |
|
|
Text Classification (F32)
|
100% |
1991
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3446
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3432
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1361
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1576
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.6 IPS |
