MacBook Pro (13-inch, 2022)
Geekbench ML Score
3912
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 22 2024 07:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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 | 3.13 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% |
1370
256.4 IPS |
|
|
Image Classification (F16)
|
100% |
2514
470.5 IPS |
|
|
Image Classification (I8)
|
99% |
2517
470.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1128
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1175
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6606
8.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
14409
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14425
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1480
110.5 IPS |
|
|
Object Detection (F16)
|
100% |
2422
180.8 IPS |
|
|
Object Detection (I8)
|
97% |
1474
110.0 IPS |
|
|
Face Detection (F32)
|
100% |
3092
36.8 IPS |
|
|
Face Detection (F16)
|
97% |
5962
70.9 IPS |
|
|
Face Detection (I8)
|
97% |
5894
70.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5619
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11667
90.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11024
85.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18524
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28448
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28429
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4302
153.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5011
178.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4598
164.2 IPS |
|
|
Text Classification (F32)
|
100% |
2027
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3426
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3438
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1362
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1633
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1358
25.0 IPS |
