MacBook Pro (13-inch, 2022)
Geekbench ML Score
3625
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 14 2025 02:17 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 3.16 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% |
1096
205.2 IPS |
|
|
Image Classification (F16)
|
100% |
1685
315.2 IPS |
|
|
Image Classification (I8)
|
99% |
2379
445.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1028
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1023
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5872
7.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
14337
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14436
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1334
99.6 IPS |
|
|
Object Detection (F16)
|
100% |
2395
178.8 IPS |
|
|
Object Detection (I8)
|
97% |
1338
99.9 IPS |
|
|
Face Detection (F32)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5554
66.0 IPS |
|
|
Face Detection (I8)
|
96% |
5793
68.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5362
41.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10683
82.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10539
81.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17471
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27460
36.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27536
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3779
135.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5134
183.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5078
181.3 IPS |
|
|
Text Classification (F32)
|
100% |
2091
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
2720
3.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3334
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1042
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1626
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1319
24.3 IPS |
