MacBook Pro (13-inch, 2022)
Geekbench ML Score
10135
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 07 2025 06:58 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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 | 3.15 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% |
3310
619.5 IPS |
|
|
Image Classification (F16)
|
100% |
10418
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11598
2.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1538
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1984
33.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1996
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22910
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
94542
114.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
96700
117.1 IPS |
|
|
Object Detection (F32)
|
100% |
2830
211.3 IPS |
|
|
Object Detection (F16)
|
100% |
5964
445.2 IPS |
|
|
Object Detection (I8)
|
97% |
2715
202.7 IPS |
|
|
Face Detection (F32)
|
100% |
9310
110.7 IPS |
|
|
Face Detection (F16)
|
97% |
18561
220.7 IPS |
|
|
Face Detection (I8)
|
96% |
20263
240.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16158
125.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
51348
398.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
51840
402.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40866
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
149341
196.4 IPS |
|
|
Style Transfer (I8)
|
100% |
150647
198.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8969
320.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35799
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33798
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2167
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3477
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3437
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1076
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1400
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1093
20.1 IPS |
