MacBook Pro (13-inch, 2022)
Geekbench ML Score
3812
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 16 2025 07:17 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1274
238.5 IPS |
|
|
Image Classification (F16)
|
100% |
2343
438.4 IPS |
|
|
Image Classification (I8)
|
99% |
2488
465.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
827
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
997
16.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
999
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6216
7.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
14421
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14439
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1407
105.1 IPS |
|
|
Object Detection (F16)
|
100% |
2293
171.2 IPS |
|
|
Object Detection (I8)
|
97% |
1450
108.3 IPS |
|
|
Face Detection (F32)
|
100% |
2983
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5453
64.8 IPS |
|
|
Face Detection (I8)
|
97% |
5732
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5465
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11040
85.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10635
82.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17324
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
28395
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28440
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4098
146.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5056
180.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5046
180.2 IPS |
|
|
Text Classification (F32)
|
100% |
2161
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3583
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3681
5.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1323
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1653
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1351
24.9 IPS |
