MacBook Pro (13-inch, 2022)
Geekbench ML Score
3631
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 15 2025 06:08 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 3.14 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% |
1026
192.0 IPS |
|
|
Image Classification (F16)
|
100% |
2152
402.7 IPS |
|
|
Image Classification (I8)
|
99% |
2136
399.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
676
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1021
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
945
15.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5759
6.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
14150
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14012
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1312
97.9 IPS |
|
|
Object Detection (F16)
|
100% |
2433
181.7 IPS |
|
|
Object Detection (I8)
|
97% |
1318
98.4 IPS |
|
|
Face Detection (F32)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (F16)
|
97% |
5153
61.3 IPS |
|
|
Face Detection (I8)
|
96% |
5672
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5098
39.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10913
84.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10950
84.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17422
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27255
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27263
35.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3901
139.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5272
188.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5294
189.1 IPS |
|
|
Text Classification (F32)
|
100% |
2139
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3503
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3477
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1272
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1650
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1186
21.8 IPS |
