MacBook Pro (13-inch, 2022)
Geekbench ML Score
9431
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 15 2025 05:54 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.01 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% |
2888
540.5 IPS |
|
|
Image Classification (F16)
|
100% |
10168
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
10768
2.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1480
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1813
30.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1716
28.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
21265
25.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
66045
80.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
87338
105.8 IPS |
|
|
Object Detection (F32)
|
100% |
2473
184.6 IPS |
|
|
Object Detection (F16)
|
100% |
5383
401.9 IPS |
|
|
Object Detection (I8)
|
97% |
2386
178.2 IPS |
|
|
Face Detection (F32)
|
100% |
8661
103.0 IPS |
|
|
Face Detection (F16)
|
97% |
19303
229.5 IPS |
|
|
Face Detection (I8)
|
96% |
19169
227.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15904
123.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
66910
518.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
45381
351.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39987
52.6 IPS |
|
|
Style Transfer (F16)
|
100% |
137568
181.0 IPS |
|
|
Style Transfer (I8)
|
100% |
138240
181.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8773
313.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33258
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33979
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2084
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3370
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3382
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
963
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1128
20.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1013
18.6 IPS |
