MacBook Pro (13-inch, 2022)
Geekbench ML Score
9507
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 03:33 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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% |
3377
632.0 IPS |
|
|
Image Classification (F16)
|
100% |
10061
1.88 KIPS |
|
|
Image Classification (I8)
|
99% |
11718
2.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1232
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1811
30.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1875
31.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22825
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
93574
113.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
96394
116.7 IPS |
|
|
Object Detection (F32)
|
100% |
2807
209.6 IPS |
|
|
Object Detection (F16)
|
100% |
5449
406.8 IPS |
|
|
Object Detection (I8)
|
97% |
2301
171.8 IPS |
|
|
Face Detection (F32)
|
100% |
6610
78.6 IPS |
|
|
Face Detection (F16)
|
97% |
19909
236.7 IPS |
|
|
Face Detection (I8)
|
96% |
19691
234.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15957
123.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
41486
321.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
44798
347.4 IPS |
|
|
Style Transfer (F32)
|
100% |
37320
49.1 IPS |
|
|
Style Transfer (F16)
|
100% |
147207
193.6 IPS |
|
|
Style Transfer (I8)
|
100% |
137250
180.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6916
247.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34432
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33961
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2180
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3592
5.16 KIPS |
|
|
Text Classification (I8)
|
96% |
3624
5.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
994
18.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1381
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
997
18.4 IPS |
