MacBook Pro (13-inch, 2022)
Geekbench ML Score
9711
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 16 2025 06:09 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 3.37 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% |
3367
630.1 IPS |
|
|
Image Classification (F16)
|
100% |
10285
1.92 KIPS |
|
|
Image Classification (I8)
|
99% |
11565
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1533
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1969
32.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2077
34.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22920
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
94222
114.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
97134
117.6 IPS |
|
|
Object Detection (F32)
|
100% |
2855
213.1 IPS |
|
|
Object Detection (F16)
|
100% |
5475
408.8 IPS |
|
|
Object Detection (I8)
|
97% |
2835
211.7 IPS |
|
|
Face Detection (F32)
|
100% |
9259
110.1 IPS |
|
|
Face Detection (F16)
|
97% |
15606
185.6 IPS |
|
|
Face Detection (I8)
|
96% |
20457
243.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16805
130.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
67328
522.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
53153
412.2 IPS |
|
|
Style Transfer (F32)
|
100% |
33596
44.2 IPS |
|
|
Style Transfer (F16)
|
100% |
149770
197.0 IPS |
|
|
Style Transfer (I8)
|
100% |
133352
175.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7135
254.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34112
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34683
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2122
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3471
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3478
5.00 KIPS |
|
|
Machine Translation (F32)
|
0% |
695
12.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1411
26.0 IPS |
|
|
Machine Translation (I8)
|
0% |
703
12.9 IPS |
