MacBook Pro (13-inch, 2022)
Geekbench ML Score
3839
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 07:13 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 3.48 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% |
1342
251.2 IPS |
|
|
Image Classification (F16)
|
100% |
2390
447.2 IPS |
|
|
Image Classification (I8)
|
99% |
2373
444.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1164
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1180
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6336
7.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
14060
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14072
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1380
103.0 IPS |
|
|
Object Detection (F16)
|
100% |
2325
173.6 IPS |
|
|
Object Detection (I8)
|
97% |
1403
104.8 IPS |
|
|
Face Detection (F32)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5701
67.8 IPS |
|
|
Face Detection (I8)
|
97% |
5816
69.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5481
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11274
87.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11173
86.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18179
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28204
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28197
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4091
146.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4901
175.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5055
180.5 IPS |
|
|
Text Classification (F32)
|
100% |
2038
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3331
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3398
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1386
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1574
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1368
25.2 IPS |
