MacBook Pro (13-inch, 2022)
Geekbench ML Score
3839
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 30 2025 07:26 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1324
247.8 IPS |
|
|
Image Classification (F16)
|
100% |
2392
447.6 IPS |
|
|
Image Classification (I8)
|
99% |
2407
450.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
883
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1120
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
998
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6184
7.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
13617
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
13908
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1412
105.4 IPS |
|
|
Object Detection (F16)
|
100% |
2464
183.9 IPS |
|
|
Object Detection (I8)
|
97% |
1411
105.4 IPS |
|
|
Face Detection (F32)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5768
68.6 IPS |
|
|
Face Detection (I8)
|
97% |
5778
68.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5559
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11573
89.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11638
90.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18034
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26903
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27172
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4190
149.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5017
179.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5137
183.5 IPS |
|
|
Text Classification (F32)
|
100% |
2073
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3366
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3344
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1387
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1650
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1345
24.8 IPS |
