MacBook Pro (13-inch, 2022)
Geekbench ML Score
9385
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 02:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.42 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% |
3243
606.8 IPS |
|
|
Image Classification (F16)
|
100% |
10592
1.98 KIPS |
|
|
Image Classification (I8)
|
99% |
11089
2.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1341
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1738
29.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2015
33.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22904
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
92198
111.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
94422
114.3 IPS |
|
|
Object Detection (F32)
|
100% |
2151
160.6 IPS |
|
|
Object Detection (F16)
|
100% |
5622
419.7 IPS |
|
|
Object Detection (I8)
|
97% |
2810
209.8 IPS |
|
|
Face Detection (F32)
|
100% |
9277
110.3 IPS |
|
|
Face Detection (F16)
|
97% |
20025
238.1 IPS |
|
|
Face Detection (I8)
|
96% |
16105
191.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
9820
76.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
47212
366.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
53082
411.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40428
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
143113
188.3 IPS |
|
|
Style Transfer (I8)
|
100% |
138126
181.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7140
255.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34676
1.24 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35412
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
1956
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
3351
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3343
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
897
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1309
24.1 IPS |
|
|
Machine Translation (I8)
|
99% |
926
17.0 IPS |
