MacBook Pro (13-inch, 2022)
Geekbench ML Score
3820
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 29 2024 05:41 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 | 3.30 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% |
1294
242.2 IPS |
|
|
Image Classification (F16)
|
100% |
2355
440.7 IPS |
|
|
Image Classification (I8)
|
99% |
2339
437.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
837
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1102
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1008
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6213
7.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
13801
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13983
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1429
106.7 IPS |
|
|
Object Detection (F16)
|
100% |
2462
183.8 IPS |
|
|
Object Detection (I8)
|
97% |
1426
106.5 IPS |
|
|
Face Detection (F32)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5793
68.9 IPS |
|
|
Face Detection (I8)
|
97% |
5950
70.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5501
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11669
90.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11646
90.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18338
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27444
36.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27074
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4198
149.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4948
176.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4961
177.2 IPS |
|
|
Text Classification (F32)
|
100% |
1986
2.85 KIPS |
|
|
Text Classification (F16)
|
100% |
3270
4.70 KIPS |
|
|
Text Classification (I8)
|
96% |
3352
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1391
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1661
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1335
24.6 IPS |
