MacBook Pro (13-inch, 2022)
Geekbench ML Score
3780
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 18 2025 06:01 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.47 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% |
1288
241.0 IPS |
|
|
Image Classification (F16)
|
100% |
2400
449.0 IPS |
|
|
Image Classification (I8)
|
99% |
2416
452.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1063
17.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1136
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6115
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
14472
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14343
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1292
96.5 IPS |
|
|
Object Detection (F16)
|
100% |
2302
171.9 IPS |
|
|
Object Detection (I8)
|
97% |
1297
96.9 IPS |
|
|
Face Detection (F32)
|
100% |
2991
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5816
69.2 IPS |
|
|
Face Detection (I8)
|
96% |
5738
68.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5365
41.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10938
84.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10893
84.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16703
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27226
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27848
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3901
139.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5314
189.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5033
179.8 IPS |
|
|
Text Classification (F32)
|
100% |
2030
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3446
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3485
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1339
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1653
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1358
25.0 IPS |
