MacBook Pro (13-inch, 2022)
Geekbench ML Score
8921
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 06:46 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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% |
3247
607.5 IPS |
|
|
Image Classification (F16)
|
100% |
10520
1.97 KIPS |
|
|
Image Classification (I8)
|
99% |
11425
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1546
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
812
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1592
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23267
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
86085
104.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
96238
116.5 IPS |
|
|
Object Detection (F32)
|
100% |
2476
184.8 IPS |
|
|
Object Detection (F16)
|
100% |
4776
356.5 IPS |
|
|
Object Detection (I8)
|
97% |
2792
208.5 IPS |
|
|
Face Detection (F32)
|
100% |
9299
110.6 IPS |
|
|
Face Detection (F16)
|
97% |
20236
240.6 IPS |
|
|
Face Detection (I8)
|
96% |
16517
196.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15968
123.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
49261
382.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
57751
447.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40183
52.9 IPS |
|
|
Style Transfer (F16)
|
100% |
136494
179.5 IPS |
|
|
Style Transfer (I8)
|
100% |
125119
164.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7064
252.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35224
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35377
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
917
1.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1556
2.24 KIPS |
|
|
Text Classification (I8)
|
96% |
3372
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1091
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1387
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1058
19.5 IPS |
