MacBook Pro (13-inch, 2022)
Geekbench ML Score
3465
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 06:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.29 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% |
896
167.6 IPS |
|
|
Image Classification (F16)
|
100% |
2267
424.2 IPS |
|
|
Image Classification (I8)
|
99% |
2084
390.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
696
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1080
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4684
5.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
13298
16.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
10435
12.6 IPS |
|
|
Object Detection (F32)
|
100% |
1190
88.8 IPS |
|
|
Object Detection (F16)
|
100% |
2177
162.5 IPS |
|
|
Object Detection (I8)
|
97% |
1271
94.9 IPS |
|
|
Face Detection (F32)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (F16)
|
97% |
5380
64.0 IPS |
|
|
Face Detection (I8)
|
97% |
5015
59.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5194
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10682
82.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10708
83.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15509
20.4 IPS |
|
|
Style Transfer (F16)
|
100% |
27697
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27308
35.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4086
145.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5203
185.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5238
187.1 IPS |
|
|
Text Classification (F32)
|
100% |
1961
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3348
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
2007
2.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1304
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1609
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1337
24.6 IPS |
