MacBook Pro (13-inch, 2022)
Geekbench ML Score
9827
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 21 2025 08:23 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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% |
3410
638.1 IPS |
|
|
Image Classification (F16)
|
100% |
11852
2.22 KIPS |
|
|
Image Classification (I8)
|
99% |
12271
2.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1284
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1837
30.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1826
30.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22748
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
95766
116.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
98788
119.6 IPS |
|
|
Object Detection (F32)
|
100% |
2860
213.6 IPS |
|
|
Object Detection (F16)
|
100% |
5705
425.9 IPS |
|
|
Object Detection (I8)
|
97% |
2827
211.1 IPS |
|
|
Face Detection (F32)
|
100% |
8918
106.0 IPS |
|
|
Face Detection (F16)
|
97% |
20451
243.2 IPS |
|
|
Face Detection (I8)
|
96% |
20378
242.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15820
122.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
50108
388.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
48398
375.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40289
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
144217
189.7 IPS |
|
|
Style Transfer (I8)
|
100% |
148383
195.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5805
207.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36806
1.31 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35612
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2149
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3550
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3541
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
885
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1422
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
880
16.2 IPS |
