MacBook Pro (13-inch, 2022)
Geekbench ML Score
10010
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 20 2025 06:20 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.30 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% |
3440
643.7 IPS |
|
|
Image Classification (F16)
|
100% |
10847
2.03 KIPS |
|
|
Image Classification (I8)
|
99% |
11857
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1469
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1957
32.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2042
34.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23505
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
89392
108.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
90736
109.9 IPS |
|
|
Object Detection (F32)
|
100% |
2825
210.9 IPS |
|
|
Object Detection (F16)
|
100% |
5441
406.2 IPS |
|
|
Object Detection (I8)
|
97% |
2828
211.1 IPS |
|
|
Face Detection (F32)
|
100% |
9007
107.1 IPS |
|
|
Face Detection (F16)
|
97% |
20381
242.3 IPS |
|
|
Face Detection (I8)
|
96% |
20017
238.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15943
123.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
66186
513.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
71562
555.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41199
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
143121
188.3 IPS |
|
|
Style Transfer (I8)
|
100% |
150077
197.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7141
255.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34421
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32927
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
2000
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3330
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3324
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
869
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1408
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
891
16.4 IPS |
