MacBook Pro (13-inch, 2022)
Geekbench ML Score
8992
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 27 2025 06:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.28 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% |
2157
403.7 IPS |
|
|
Image Classification (F16)
|
100% |
10958
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
10996
2.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1129
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1648
27.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1518
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
19098
23.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
92031
111.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
96322
116.6 IPS |
|
|
Object Detection (F32)
|
100% |
2177
162.5 IPS |
|
|
Object Detection (F16)
|
100% |
5449
406.8 IPS |
|
|
Object Detection (I8)
|
97% |
1530
114.2 IPS |
|
|
Face Detection (F32)
|
100% |
7015
83.4 IPS |
|
|
Face Detection (F16)
|
97% |
19799
235.4 IPS |
|
|
Face Detection (I8)
|
96% |
19677
234.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8728
67.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
53972
418.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
71416
553.8 IPS |
|
|
Style Transfer (F32)
|
100% |
39021
51.3 IPS |
|
|
Style Transfer (F16)
|
100% |
145285
191.1 IPS |
|
|
Style Transfer (I8)
|
100% |
142888
188.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7256
259.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35751
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36521
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2165
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3380
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3404
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
892
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1320
24.3 IPS |
|
|
Machine Translation (I8)
|
99% |
887
16.3 IPS |
