MacBook Pro (13-inch, 2022)
Geekbench ML Score
3806
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 19 2024 06:05 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 | 3.44 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% |
1315
246.1 IPS |
|
|
Image Classification (F16)
|
100% |
2383
445.9 IPS |
|
|
Image Classification (I8)
|
99% |
2374
444.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
759
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1115
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1120
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6291
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
13924
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13928
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1367
102.1 IPS |
|
|
Object Detection (F16)
|
100% |
2330
173.9 IPS |
|
|
Object Detection (I8)
|
97% |
1443
107.7 IPS |
|
|
Face Detection (F32)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5780
68.7 IPS |
|
|
Face Detection (I8)
|
97% |
5873
69.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5619
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11121
86.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11268
87.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18176
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28179
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28300
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4093
146.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4908
175.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5069
181.0 IPS |
|
|
Text Classification (F32)
|
100% |
2061
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3391
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
2889
4.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
1393
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1573
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1387
25.5 IPS |
