MacBook Pro (13-inch, 2022)
Geekbench ML Score
9467
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 06:59 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.39 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% |
3455
646.4 IPS |
|
|
Image Classification (F16)
|
100% |
10800
2.02 KIPS |
|
|
Image Classification (I8)
|
99% |
11564
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1482
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2034
34.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1971
32.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23284
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
86236
104.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
97014
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
2082
155.5 IPS |
|
|
Object Detection (F16)
|
100% |
5677
423.8 IPS |
|
|
Object Detection (I8)
|
97% |
2825
210.9 IPS |
|
|
Face Detection (F32)
|
100% |
9195
109.3 IPS |
|
|
Face Detection (F16)
|
97% |
16284
193.6 IPS |
|
|
Face Detection (I8)
|
96% |
20105
239.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15790
122.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
48434
375.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
47223
366.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27163
35.7 IPS |
|
|
Style Transfer (F16)
|
100% |
134248
176.6 IPS |
|
|
Style Transfer (I8)
|
100% |
149326
196.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6194
221.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32967
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34445
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2056
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3483
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3386
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1018
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1334
24.6 IPS |
|
|
Machine Translation (I8)
|
99% |
848
15.6 IPS |
