MacBook Pro (13-inch, 2022)
Geekbench ML Score
3783
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 14 2024 07:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 3.45 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% |
2214
414.3 IPS |
|
|
Image Classification (I8)
|
99% |
2356
440.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1026
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1139
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6522
7.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
13926
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13964
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1271
94.9 IPS |
|
|
Object Detection (F16)
|
100% |
2325
173.6 IPS |
|
|
Object Detection (I8)
|
97% |
1357
101.3 IPS |
|
|
Face Detection (F32)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5769
68.6 IPS |
|
|
Face Detection (I8)
|
97% |
5554
66.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5535
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11693
90.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11699
90.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18198
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26526
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27795
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4204
150.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4925
175.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4833
172.6 IPS |
|
|
Text Classification (F32)
|
100% |
1951
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3224
4.63 KIPS |
|
|
Text Classification (I8)
|
96% |
3329
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1632
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1367
25.2 IPS |
