MacBook Pro (13-inch, 2022)
Geekbench ML Score
9721
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 05 2025 06:57 PM |
| Views | 2 |
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 | 2.75 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% |
3365
629.8 IPS |
|
|
Image Classification (F16)
|
100% |
10467
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
11237
2.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1467
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1960
32.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1999
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22978
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
94909
114.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
72742
88.1 IPS |
|
|
Object Detection (F32)
|
100% |
2879
215.0 IPS |
|
|
Object Detection (F16)
|
100% |
5504
410.9 IPS |
|
|
Object Detection (I8)
|
97% |
2870
214.3 IPS |
|
|
Face Detection (F32)
|
100% |
7381
87.8 IPS |
|
|
Face Detection (F16)
|
97% |
20339
241.8 IPS |
|
|
Face Detection (I8)
|
96% |
20151
239.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
14109
109.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
50876
394.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
51305
397.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40706
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
149409
196.5 IPS |
|
|
Style Transfer (I8)
|
100% |
149412
196.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8535
304.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27522
982.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
33077
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
2020
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3160
4.54 KIPS |
|
|
Text Classification (I8)
|
96% |
3541
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
983
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1401
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1067
19.6 IPS |
