MacBook Pro (13-inch, 2022)
Geekbench ML Score
9511
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 07 2025 05:58 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.18 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% |
3040
568.9 IPS |
|
|
Image Classification (F16)
|
100% |
11394
2.13 KIPS |
|
|
Image Classification (I8)
|
99% |
9957
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1047
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1632
27.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1600
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22976
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
94634
114.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
95920
116.2 IPS |
|
|
Object Detection (F32)
|
100% |
2817
210.3 IPS |
|
|
Object Detection (F16)
|
100% |
5238
391.0 IPS |
|
|
Object Detection (I8)
|
97% |
2804
209.3 IPS |
|
|
Face Detection (F32)
|
100% |
8830
105.0 IPS |
|
|
Face Detection (F16)
|
97% |
20194
240.1 IPS |
|
|
Face Detection (I8)
|
96% |
15998
190.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15767
122.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
48158
373.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
56086
434.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40135
52.8 IPS |
|
|
Style Transfer (F16)
|
100% |
141457
186.1 IPS |
|
|
Style Transfer (I8)
|
100% |
123904
163.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8022
286.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34830
1.24 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32847
1.17 KIPS |
|
|
Text Classification (F32)
|
100% |
1800
2.59 KIPS |
|
|
Text Classification (F16)
|
100% |
3538
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3599
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1031
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1416
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1043
19.2 IPS |
