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 | September 17 2024 07:16 PM |
| Views | 4 |
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 | 3.47 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% |
1334
249.5 IPS |
|
|
Image Classification (F16)
|
100% |
2412
451.4 IPS |
|
|
Image Classification (I8)
|
99% |
2341
438.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
778
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
921
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1133
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6574
7.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
13685
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
13848
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1364
101.9 IPS |
|
|
Object Detection (F16)
|
100% |
2324
173.5 IPS |
|
|
Object Detection (I8)
|
97% |
1363
101.7 IPS |
|
|
Face Detection (F32)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5888
70.0 IPS |
|
|
Face Detection (I8)
|
97% |
5782
68.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5612
43.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11629
90.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11227
87.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17488
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27742
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27830
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4180
149.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4836
172.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4803
171.5 IPS |
|
|
Text Classification (F32)
|
100% |
2040
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3449
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3443
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1391
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1584
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1382
25.4 IPS |
