MacBook Pro (13-inch, 2022)
Geekbench ML Score
9281
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 04:52 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.38 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% |
3157
590.8 IPS |
|
|
Image Classification (F16)
|
100% |
10667
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
11947
2.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1571
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1976
33.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1864
31.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23294
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
81382
98.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
65299
79.1 IPS |
|
|
Object Detection (F32)
|
100% |
1457
108.8 IPS |
|
|
Object Detection (F16)
|
100% |
3807
284.2 IPS |
|
|
Object Detection (I8)
|
97% |
2374
177.2 IPS |
|
|
Face Detection (F32)
|
100% |
8803
104.7 IPS |
|
|
Face Detection (F16)
|
97% |
17067
202.9 IPS |
|
|
Face Detection (I8)
|
96% |
14299
170.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15542
120.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
57228
443.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
55056
427.0 IPS |
|
|
Style Transfer (F32)
|
100% |
32197
42.4 IPS |
|
|
Style Transfer (F16)
|
100% |
144461
190.0 IPS |
|
|
Style Transfer (I8)
|
100% |
137244
180.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9238
329.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35722
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34640
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2055
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3548
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3480
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1088
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1258
23.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1056
19.4 IPS |
