MacBook Pro (13-inch, 2022)
Geekbench ML Score
9499
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 06:30 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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% |
3467
648.8 IPS |
|
|
Image Classification (F16)
|
100% |
10458
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
11935
2.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1306
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1418
23.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1912
31.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22829
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
86631
104.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
97187
117.7 IPS |
|
|
Object Detection (F32)
|
100% |
2743
204.8 IPS |
|
|
Object Detection (F16)
|
100% |
5533
413.1 IPS |
|
|
Object Detection (I8)
|
97% |
2090
156.0 IPS |
|
|
Face Detection (F32)
|
100% |
4879
58.0 IPS |
|
|
Face Detection (F16)
|
97% |
19498
231.8 IPS |
|
|
Face Detection (I8)
|
96% |
20486
243.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16115
125.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
46137
357.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
50137
388.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40713
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
142788
187.8 IPS |
|
|
Style Transfer (I8)
|
100% |
144660
190.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7276
259.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33659
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35437
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2158
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3569
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3568
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1069
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1406
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1046
19.3 IPS |
