MacBook Pro (13-inch, 2022)
Geekbench ML Score
9722
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 05 2025 06:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.24 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% |
3357
628.2 IPS |
|
|
Image Classification (F16)
|
100% |
10737
2.01 KIPS |
|
|
Image Classification (I8)
|
99% |
9896
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1560
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1600
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1893
31.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
21060
25.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
94624
114.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
96558
116.9 IPS |
|
|
Object Detection (F32)
|
100% |
2824
210.9 IPS |
|
|
Object Detection (F16)
|
100% |
5736
428.2 IPS |
|
|
Object Detection (I8)
|
97% |
2853
213.0 IPS |
|
|
Face Detection (F32)
|
100% |
8907
105.9 IPS |
|
|
Face Detection (F16)
|
97% |
16228
193.0 IPS |
|
|
Face Detection (I8)
|
96% |
19662
233.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16086
124.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
46122
357.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
45182
350.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40537
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
144057
189.5 IPS |
|
|
Style Transfer (I8)
|
100% |
130563
171.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8759
312.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33310
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34051
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2121
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3467
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3490
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1063
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1427
26.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1021
18.8 IPS |
