MacBook Pro (13-inch, 2022)
Geekbench ML Score
3818
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 04 2024 06:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
1348
252.2 IPS |
|
|
Image Classification (F16)
|
100% |
2420
452.9 IPS |
|
|
Image Classification (I8)
|
99% |
2409
450.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
875
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1166
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1152
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6612
8.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
14117
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13255
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1238
92.4 IPS |
|
|
Object Detection (F16)
|
100% |
2491
186.0 IPS |
|
|
Object Detection (I8)
|
97% |
1473
110.0 IPS |
|
|
Face Detection (F32)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (F16)
|
97% |
4637
55.1 IPS |
|
|
Face Detection (I8)
|
97% |
5863
69.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5578
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11690
90.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11195
86.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17258
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27796
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27891
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4184
149.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4831
172.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4890
174.6 IPS |
|
|
Text Classification (F32)
|
100% |
2047
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3312
4.76 KIPS |
|
|
Text Classification (I8)
|
96% |
3285
4.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1377
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1629
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1356
25.0 IPS |
