MacBook Pro (13-inch, 2022)
Geekbench ML Score
9318
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 01 2025 05:40 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.46 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% |
2984
558.3 IPS |
|
|
Image Classification (F16)
|
100% |
10499
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
10735
2.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
906
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1880
31.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1856
31.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22680
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
80931
98.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
64564
78.2 IPS |
|
|
Object Detection (F32)
|
100% |
2306
172.2 IPS |
|
|
Object Detection (F16)
|
100% |
3851
287.5 IPS |
|
|
Object Detection (I8)
|
97% |
2732
204.0 IPS |
|
|
Face Detection (F32)
|
100% |
8990
106.9 IPS |
|
|
Face Detection (F16)
|
97% |
20362
242.1 IPS |
|
|
Face Detection (I8)
|
96% |
20377
242.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16568
128.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
56336
436.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
64504
500.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40397
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
140961
185.4 IPS |
|
|
Style Transfer (I8)
|
100% |
133737
175.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8386
299.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35188
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
25229
901.0 IPS |
|
|
Text Classification (F32)
|
100% |
2081
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3481
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3554
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
863
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
997
18.3 IPS |
