MacBook Pro (13-inch, 2022)
Geekbench ML Score
9556
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 04 2025 04:45 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.39 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3171
593.3 IPS |
|
|
Image Classification (F16)
|
100% |
10153
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
11838
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1061
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1733
28.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1661
27.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22664
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
90828
110.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
89320
108.2 IPS |
|
|
Object Detection (F32)
|
100% |
2586
193.1 IPS |
|
|
Object Detection (F16)
|
100% |
5430
405.4 IPS |
|
|
Object Detection (I8)
|
97% |
2755
205.7 IPS |
|
|
Face Detection (F32)
|
100% |
8838
105.1 IPS |
|
|
Face Detection (F16)
|
97% |
18706
222.4 IPS |
|
|
Face Detection (I8)
|
96% |
18437
219.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15966
123.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
64254
498.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
65445
507.5 IPS |
|
|
Style Transfer (F32)
|
100% |
34567
45.5 IPS |
|
|
Style Transfer (F16)
|
100% |
144489
190.1 IPS |
|
|
Style Transfer (I8)
|
100% |
132070
173.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5808
207.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34104
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34799
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2123
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3478
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3501
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1044
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1369
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
902
16.6 IPS |
