MacBook Pro (13-inch, 2022)
Geekbench ML Score
9789
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 16 2025 07:21 PM |
| Views | 5 |
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% |
2390
447.3 IPS |
|
|
Image Classification (F16)
|
100% |
8903
1.67 KIPS |
|
|
Image Classification (I8)
|
99% |
11809
2.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1579
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1951
32.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
2023
33.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23097
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
72940
88.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
97475
118.0 IPS |
|
|
Object Detection (F32)
|
100% |
2846
212.5 IPS |
|
|
Object Detection (F16)
|
100% |
5628
420.2 IPS |
|
|
Object Detection (I8)
|
97% |
2278
170.1 IPS |
|
|
Face Detection (F32)
|
100% |
9137
108.6 IPS |
|
|
Face Detection (F16)
|
97% |
20138
239.4 IPS |
|
|
Face Detection (I8)
|
96% |
15792
187.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16094
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
48469
375.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
72038
558.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40906
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
145687
191.6 IPS |
|
|
Style Transfer (I8)
|
100% |
129748
170.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7695
274.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35657
1.27 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34624
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2128
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3402
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3571
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1412
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1151
21.2 IPS |
