MacBook Pro (13-inch, 2022)
Geekbench ML Score
9827
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 26 2025 06:31 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2569
480.7 IPS |
|
|
Image Classification (F16)
|
100% |
10158
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
11293
2.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1559
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1702
28.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1965
32.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23133
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
93751
113.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
97044
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
2796
208.8 IPS |
|
|
Object Detection (F16)
|
100% |
5554
414.6 IPS |
|
|
Object Detection (I8)
|
97% |
2847
212.6 IPS |
|
|
Face Detection (F32)
|
100% |
8742
103.9 IPS |
|
|
Face Detection (F16)
|
97% |
18821
223.8 IPS |
|
|
Face Detection (I8)
|
96% |
20198
240.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16012
124.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
47550
368.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
44193
342.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40493
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
144730
190.4 IPS |
|
|
Style Transfer (I8)
|
100% |
146227
192.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9266
330.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31713
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34897
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2126
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3509
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3582
5.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
1094
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1309
24.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1105
20.3 IPS |
