MacBook Pro (13-inch, 2022)
Geekbench ML Score
9157
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 18 2025 06:26 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
3385
633.5 IPS |
|
|
Image Classification (F16)
|
100% |
10631
1.99 KIPS |
|
|
Image Classification (I8)
|
99% |
12225
2.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1358
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1682
28.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1913
31.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23059
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
87543
106.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96786
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
2714
202.6 IPS |
|
|
Object Detection (F16)
|
100% |
5478
408.9 IPS |
|
|
Object Detection (I8)
|
97% |
2172
162.1 IPS |
|
|
Face Detection (F32)
|
100% |
5165
61.4 IPS |
|
|
Face Detection (F16)
|
97% |
15968
189.9 IPS |
|
|
Face Detection (I8)
|
96% |
20173
239.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15898
123.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
49295
382.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
53124
412.0 IPS |
|
|
Style Transfer (F32)
|
100% |
25762
33.9 IPS |
|
|
Style Transfer (F16)
|
100% |
141321
185.9 IPS |
|
|
Style Transfer (I8)
|
100% |
133981
176.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5816
207.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35549
1.27 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34370
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2093
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3486
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3451
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
864
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (I8)
|
99% |
835
15.4 IPS |
