MacBook Pro (13-inch, 2022)
Geekbench ML Score
3792
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 24 2025 07:24 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 3.48 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% |
1205
225.5 IPS |
|
|
Image Classification (F16)
|
100% |
2241
419.4 IPS |
|
|
Image Classification (I8)
|
99% |
2355
440.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
867
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1181
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1169
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6627
8.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
14667
17.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14575
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1465
109.4 IPS |
|
|
Object Detection (F16)
|
100% |
2445
182.5 IPS |
|
|
Object Detection (I8)
|
97% |
1458
108.8 IPS |
|
|
Face Detection (F32)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (F16)
|
97% |
5563
66.1 IPS |
|
|
Face Detection (I8)
|
96% |
5202
61.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5344
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9512
73.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10057
78.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16820
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27227
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27418
36.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3895
139.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5337
190.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4962
177.2 IPS |
|
|
Text Classification (F32)
|
100% |
2145
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3448
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3438
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1321
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1682
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1356
25.0 IPS |
