MacBook Pro (13-inch, 2022)
Geekbench ML Score
3815
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 24 2024 07:49 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B82) |
| 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 | 3.29 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% |
1255
234.8 IPS |
|
|
Image Classification (F16)
|
100% |
2501
467.9 IPS |
|
|
Image Classification (I8)
|
99% |
2519
471.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
812
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1021
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1009
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6495
7.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
14172
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14101
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1418
105.9 IPS |
|
|
Object Detection (F16)
|
100% |
2451
183.0 IPS |
|
|
Object Detection (I8)
|
97% |
1418
105.8 IPS |
|
|
Face Detection (F32)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (F16)
|
97% |
5805
69.0 IPS |
|
|
Face Detection (I8)
|
97% |
5781
68.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5579
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11192
86.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11169
86.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18026
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27878
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27199
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4080
145.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4964
177.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4962
177.2 IPS |
|
|
Text Classification (F32)
|
100% |
2075
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3392
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3398
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1584
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1354
24.9 IPS |
