MacBook Pro (13-inch, 2022)
Geekbench ML Score
3835
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 27 2026 06:30 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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% |
1139
213.1 IPS |
|
|
Image Classification (F16)
|
100% |
2269
424.6 IPS |
|
|
Image Classification (I8)
|
99% |
2327
435.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
758
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
994
16.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1006
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4832
5.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
14466
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14296
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1135
84.7 IPS |
|
|
Object Detection (F16)
|
100% |
2399
179.1 IPS |
|
|
Object Detection (I8)
|
97% |
1339
99.9 IPS |
|
|
Face Detection (F32)
|
100% |
2739
32.6 IPS |
|
|
Face Detection (F16)
|
97% |
5464
65.0 IPS |
|
|
Face Detection (I8)
|
96% |
5808
69.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5253
40.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10377
80.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10645
82.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17496
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28171
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28622
37.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3666
130.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5256
187.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5269
188.2 IPS |
|
|
Text Classification (F32)
|
100% |
3628
5.21 KIPS |
|
|
Text Classification (F16)
|
100% |
5976
8.59 KIPS |
|
|
Text Classification (I8)
|
96% |
5524
7.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1247
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1470
27.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1237
22.8 IPS |
