MacBook Pro (13-inch, 2022)
Geekbench ML Score
3845
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 06 2025 10:00 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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 | 3.45 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% |
1352
253.0 IPS |
|
|
Image Classification (F16)
|
100% |
2406
450.3 IPS |
|
|
Image Classification (I8)
|
99% |
2398
448.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
768
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1121
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1131
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6363
7.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
14421
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14216
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1399
104.5 IPS |
|
|
Object Detection (F16)
|
100% |
2309
172.4 IPS |
|
|
Object Detection (I8)
|
97% |
1416
105.7 IPS |
|
|
Face Detection (F32)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5837
69.4 IPS |
|
|
Face Detection (I8)
|
96% |
5830
69.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5584
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10781
83.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10578
82.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18190
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28233
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28037
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4087
145.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5035
179.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5225
186.6 IPS |
|
|
Text Classification (F32)
|
100% |
2119
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3428
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3461
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1363
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1645
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1357
25.0 IPS |
