MacBook Pro (13-inch, 2022)
Geekbench ML Score
3771
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 31 2025 06:41 PM |
| Views | 6 |
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 | 3.46 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% |
1296
242.5 IPS |
|
|
Image Classification (F16)
|
100% |
2411
451.1 IPS |
|
|
Image Classification (I8)
|
99% |
2250
421.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
769
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1070
17.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1097
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6383
7.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
13401
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13891
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1287
96.1 IPS |
|
|
Object Detection (F16)
|
100% |
2327
173.7 IPS |
|
|
Object Detection (I8)
|
97% |
1416
105.7 IPS |
|
|
Face Detection (F32)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5720
68.0 IPS |
|
|
Face Detection (I8)
|
97% |
5784
68.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5593
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10968
85.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10613
82.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18007
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27875
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27950
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3993
142.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4847
173.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5073
181.2 IPS |
|
|
Text Classification (F32)
|
100% |
2081
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3473
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3480
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1522
28.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1344
24.7 IPS |
