MacBook Pro (13-inch, 2022)
Geekbench ML Score
3804
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 04 2024 06:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5331b) |
| 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% |
1278
239.1 IPS |
|
|
Image Classification (F16)
|
100% |
2285
427.6 IPS |
|
|
Image Classification (I8)
|
99% |
2358
441.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
775
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1118
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1126
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6403
7.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
14069
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13949
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1370
102.3 IPS |
|
|
Object Detection (F16)
|
100% |
2328
173.8 IPS |
|
|
Object Detection (I8)
|
97% |
1439
107.4 IPS |
|
|
Face Detection (F32)
|
100% |
3041
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5800
69.0 IPS |
|
|
Face Detection (I8)
|
97% |
5823
69.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5625
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11016
85.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11287
87.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18106
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27817
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27840
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4116
147.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4803
171.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5012
179.0 IPS |
|
|
Text Classification (F32)
|
100% |
2002
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3319
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3319
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1387
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1572
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1379
25.4 IPS |
