MacBook Pro (13-inch, 2022)
Geekbench ML Score
9976
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 17 2025 06:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
3353
627.5 IPS |
|
|
Image Classification (F16)
|
100% |
10545
1.97 KIPS |
|
|
Image Classification (I8)
|
99% |
11413
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1493
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1753
29.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1992
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23148
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
94253
114.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
95005
115.0 IPS |
|
|
Object Detection (F32)
|
100% |
2814
210.1 IPS |
|
|
Object Detection (F16)
|
100% |
5477
408.9 IPS |
|
|
Object Detection (I8)
|
97% |
2811
209.9 IPS |
|
|
Face Detection (F32)
|
100% |
9273
110.3 IPS |
|
|
Face Detection (F16)
|
97% |
20380
242.3 IPS |
|
|
Face Detection (I8)
|
96% |
20234
240.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16526
128.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
47765
370.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
48498
376.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40603
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
149009
196.0 IPS |
|
|
Style Transfer (I8)
|
100% |
140401
184.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8422
300.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36100
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34656
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2076
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3358
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3366
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1076
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1075
19.8 IPS |
