MacBook Pro (13-inch, 2022)
Geekbench ML Score
8999
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 12 2025 07:44 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 3.47 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% |
3318
620.8 IPS |
|
|
Image Classification (F16)
|
100% |
8932
1.67 KIPS |
|
|
Image Classification (I8)
|
99% |
11343
2.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1413
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1560
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
651
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23065
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
77742
94.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
76201
92.3 IPS |
|
|
Object Detection (F32)
|
100% |
1919
143.3 IPS |
|
|
Object Detection (F16)
|
100% |
4854
362.4 IPS |
|
|
Object Detection (I8)
|
97% |
2084
155.6 IPS |
|
|
Face Detection (F32)
|
100% |
8853
105.3 IPS |
|
|
Face Detection (F16)
|
97% |
16336
194.2 IPS |
|
|
Face Detection (I8)
|
96% |
15741
187.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16365
126.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
61459
476.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
60061
465.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40715
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
145895
191.9 IPS |
|
|
Style Transfer (I8)
|
100% |
149188
196.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9608
343.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33075
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31502
1.13 KIPS |
|
|
Text Classification (F32)
|
100% |
2100
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3491
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3573
5.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
849
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
879
16.2 IPS |
