MacBook Pro (13-inch, 2022)
Geekbench ML Score
3756
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 17 2025 10:32 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
1273
238.3 IPS |
|
|
Image Classification (F16)
|
100% |
2250
421.1 IPS |
|
|
Image Classification (I8)
|
99% |
2157
403.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
719
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1129
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1122
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6352
7.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
14235
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14232
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1382
103.1 IPS |
|
|
Object Detection (F16)
|
100% |
2427
181.2 IPS |
|
|
Object Detection (I8)
|
97% |
1454
108.5 IPS |
|
|
Face Detection (F32)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5810
69.1 IPS |
|
|
Face Detection (I8)
|
96% |
5850
69.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5328
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10672
82.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10917
84.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18173
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27761
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
24705
32.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3739
133.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5073
181.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4615
164.8 IPS |
|
|
Text Classification (F32)
|
100% |
2081
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3446
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3382
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1288
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1676
30.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1374
25.3 IPS |
