MacBook Pro (13-inch, 2022)
Geekbench ML Score
9677
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 26 2025 06:14 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
3336
624.3 IPS |
|
|
Image Classification (F16)
|
100% |
11068
2.07 KIPS |
|
|
Image Classification (I8)
|
99% |
11667
2.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1547
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1383
23.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1843
30.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23664
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
68017
82.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
89022
107.8 IPS |
|
|
Object Detection (F32)
|
100% |
2782
207.7 IPS |
|
|
Object Detection (F16)
|
100% |
4263
318.3 IPS |
|
|
Object Detection (I8)
|
97% |
1675
125.0 IPS |
|
|
Face Detection (F32)
|
100% |
9312
110.7 IPS |
|
|
Face Detection (F16)
|
97% |
20530
244.1 IPS |
|
|
Face Detection (I8)
|
96% |
16371
194.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16523
128.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
64569
500.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
55976
434.1 IPS |
|
|
Style Transfer (F32)
|
100% |
38514
50.7 IPS |
|
|
Style Transfer (F16)
|
100% |
150449
197.9 IPS |
|
|
Style Transfer (I8)
|
100% |
148932
195.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9621
343.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34333
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36364
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2060
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3145
4.52 KIPS |
|
|
Text Classification (I8)
|
96% |
3461
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1113
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1414
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1132
20.8 IPS |
