MacBook Pro (13-inch, 2022)
Geekbench ML Score
3814
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 21 2024 05:47 PM |
| Views | 2 |
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 | 3.32 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% |
1309
245.0 IPS |
|
|
Image Classification (F16)
|
100% |
2349
439.6 IPS |
|
|
Image Classification (I8)
|
99% |
2330
436.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1118
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1010
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6270
7.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
13974
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13913
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1449
108.2 IPS |
|
|
Object Detection (F16)
|
100% |
2486
185.6 IPS |
|
|
Object Detection (I8)
|
97% |
1448
108.1 IPS |
|
|
Face Detection (F32)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5888
70.0 IPS |
|
|
Face Detection (I8)
|
97% |
5726
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5464
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11648
90.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11694
90.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18114
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26955
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
26857
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4174
149.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4945
176.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4944
176.6 IPS |
|
|
Text Classification (F32)
|
100% |
1947
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3225
4.63 KIPS |
|
|
Text Classification (I8)
|
96% |
3325
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1632
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1325
24.4 IPS |
