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 | November 10 2024 07:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 3.33 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% |
1275
238.6 IPS |
|
|
Image Classification (F16)
|
100% |
2358
441.2 IPS |
|
|
Image Classification (I8)
|
99% |
2353
440.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
860
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1112
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
994
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6262
7.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
13888
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13873
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1420
106.0 IPS |
|
|
Object Detection (F16)
|
100% |
2464
183.9 IPS |
|
|
Object Detection (I8)
|
97% |
1433
106.9 IPS |
|
|
Face Detection (F32)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5817
69.2 IPS |
|
|
Face Detection (I8)
|
97% |
5719
68.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5545
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11653
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11604
90.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18168
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26465
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27142
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4189
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5096
182.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5138
183.5 IPS |
|
|
Text Classification (F32)
|
100% |
1986
2.85 KIPS |
|
|
Text Classification (F16)
|
100% |
3250
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3264
4.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1651
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1342
24.7 IPS |
