MacBook Pro (13-inch, 2022)
Geekbench ML Score
9793
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 06 2025 03:21 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
3345
626.0 IPS |
|
|
Image Classification (F16)
|
100% |
10198
1.91 KIPS |
|
|
Image Classification (I8)
|
99% |
11121
2.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1565
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1249
20.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2013
33.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23069
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
91014
110.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
95527
115.7 IPS |
|
|
Object Detection (F32)
|
100% |
2742
204.7 IPS |
|
|
Object Detection (F16)
|
100% |
5481
409.2 IPS |
|
|
Object Detection (I8)
|
97% |
2185
163.1 IPS |
|
|
Face Detection (F32)
|
100% |
7005
83.3 IPS |
|
|
Face Detection (F16)
|
97% |
19563
232.6 IPS |
|
|
Face Detection (I8)
|
96% |
20295
241.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16080
124.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
53297
413.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
53550
415.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40256
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
149209
196.3 IPS |
|
|
Style Transfer (I8)
|
100% |
150445
197.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9434
336.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35097
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35631
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2154
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3502
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3462
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1069
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1409
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1017
18.7 IPS |
