MacBook Pro (13-inch, 2022)
Geekbench ML Score
9545
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2025 08:42 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
3350
626.9 IPS |
|
|
Image Classification (F16)
|
100% |
11583
2.17 KIPS |
|
|
Image Classification (I8)
|
99% |
12029
2.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1340
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1982
33.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1942
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22748
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
85567
103.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
97920
118.6 IPS |
|
|
Object Detection (F32)
|
100% |
2533
189.1 IPS |
|
|
Object Detection (F16)
|
100% |
5388
402.2 IPS |
|
|
Object Detection (I8)
|
97% |
2625
196.0 IPS |
|
|
Face Detection (F32)
|
100% |
8536
101.5 IPS |
|
|
Face Detection (F16)
|
97% |
18249
217.0 IPS |
|
|
Face Detection (I8)
|
96% |
19963
237.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15796
122.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
47721
370.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
51176
396.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40942
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
134212
176.5 IPS |
|
|
Style Transfer (I8)
|
100% |
132928
174.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6414
229.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35832
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33463
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2061
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3452
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3465
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
789
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1425
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
807
14.8 IPS |
