MacBook Pro (13-inch, 2022)
Geekbench ML Score
9942
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 18 2025 04:20 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
3276
613.1 IPS |
|
|
Image Classification (F16)
|
100% |
10172
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
10840
2.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1542
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1963
32.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1993
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22903
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
94484
114.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
96670
117.1 IPS |
|
|
Object Detection (F32)
|
100% |
2813
210.0 IPS |
|
|
Object Detection (F16)
|
100% |
5710
426.3 IPS |
|
|
Object Detection (I8)
|
97% |
2830
211.3 IPS |
|
|
Face Detection (F32)
|
100% |
7880
93.7 IPS |
|
|
Face Detection (F16)
|
97% |
20003
237.8 IPS |
|
|
Face Detection (I8)
|
96% |
19810
235.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15684
121.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
47083
365.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
72385
561.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40568
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
141802
186.5 IPS |
|
|
Style Transfer (I8)
|
100% |
149456
196.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8070
288.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32329
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31934
1.14 KIPS |
|
|
Text Classification (F32)
|
100% |
2083
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3439
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3356
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
979
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1361
25.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1059
19.5 IPS |
