MacBook Pro (13-inch, 2022)
Geekbench ML Score
9344
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 19 2025 05:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.30 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% |
1794
335.7 IPS |
|
|
Image Classification (F16)
|
100% |
10518
1.97 KIPS |
|
|
Image Classification (I8)
|
99% |
10883
2.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1278
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1890
31.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1677
28.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
20998
25.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
94231
114.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
95037
115.1 IPS |
|
|
Object Detection (F32)
|
100% |
2837
211.8 IPS |
|
|
Object Detection (F16)
|
100% |
4627
345.4 IPS |
|
|
Object Detection (I8)
|
97% |
2760
206.0 IPS |
|
|
Face Detection (F32)
|
100% |
8884
105.6 IPS |
|
|
Face Detection (F16)
|
97% |
18040
214.5 IPS |
|
|
Face Detection (I8)
|
96% |
18223
216.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7751
60.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
67131
520.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
46274
358.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40212
52.9 IPS |
|
|
Style Transfer (F16)
|
100% |
145908
191.9 IPS |
|
|
Style Transfer (I8)
|
100% |
138007
181.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9152
326.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34094
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34642
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2087
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3378
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3436
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1047
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1393
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1061
19.5 IPS |
