MacBook Pro (13-inch, 2022)
Geekbench ML Score
10265
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 08:27 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 3.33 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% |
3345
626.0 IPS |
|
|
Image Classification (F16)
|
100% |
11125
2.08 KIPS |
|
|
Image Classification (I8)
|
99% |
12524
2.34 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1642
27.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2016
33.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2055
34.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23000
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
94509
114.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
96437
116.8 IPS |
|
|
Object Detection (F32)
|
100% |
2798
208.9 IPS |
|
|
Object Detection (F16)
|
100% |
5748
429.1 IPS |
|
|
Object Detection (I8)
|
97% |
2770
206.8 IPS |
|
|
Face Detection (F32)
|
100% |
9371
111.4 IPS |
|
|
Face Detection (F16)
|
97% |
20369
242.2 IPS |
|
|
Face Detection (I8)
|
96% |
20443
243.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16096
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
47633
369.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
48846
378.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40455
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
150558
198.0 IPS |
|
|
Style Transfer (I8)
|
100% |
152527
200.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9660
345.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36266
1.30 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36026
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
2090
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3417
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3435
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1110
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1430
26.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1112
20.5 IPS |
