MacBook Pro (13-inch, 2022)
Geekbench ML Score
9397
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 28 2025 07:53 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2271
424.9 IPS |
|
|
Image Classification (F16)
|
100% |
9950
1.86 KIPS |
|
|
Image Classification (I8)
|
99% |
10738
2.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1190
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1860
31.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1806
30.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23288
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
87934
106.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
68852
83.4 IPS |
|
|
Object Detection (F32)
|
100% |
2897
216.3 IPS |
|
|
Object Detection (F16)
|
100% |
5279
394.1 IPS |
|
|
Object Detection (I8)
|
97% |
2772
207.0 IPS |
|
|
Face Detection (F32)
|
100% |
9052
107.6 IPS |
|
|
Face Detection (F16)
|
97% |
19944
237.1 IPS |
|
|
Face Detection (I8)
|
96% |
19808
235.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16049
124.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
45349
351.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
59726
463.2 IPS |
|
|
Style Transfer (F32)
|
100% |
38684
50.9 IPS |
|
|
Style Transfer (F16)
|
100% |
143546
188.8 IPS |
|
|
Style Transfer (I8)
|
100% |
149047
196.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6909
246.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34585
1.24 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34907
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2068
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3476
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3470
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
854
15.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1370
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
853
15.7 IPS |
