MacBook Pro (13-inch, 2022)
Geekbench ML Score
3755
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 16 2024 06:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1264
236.5 IPS |
|
|
Image Classification (F16)
|
100% |
2380
445.3 IPS |
|
|
Image Classification (I8)
|
99% |
2501
468.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1005
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1010
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6546
7.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
14206
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14298
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1363
101.8 IPS |
|
|
Object Detection (F16)
|
100% |
2193
163.7 IPS |
|
|
Object Detection (I8)
|
97% |
1236
92.3 IPS |
|
|
Face Detection (F32)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5658
67.3 IPS |
|
|
Face Detection (I8)
|
97% |
5528
65.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5340
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10870
84.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10551
81.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17231
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26666
35.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27942
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4102
146.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4885
174.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5063
180.8 IPS |
|
|
Text Classification (F32)
|
100% |
2065
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3449
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3499
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1605
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.6 IPS |
