MacBook Pro (13-inch, 2022)
Geekbench ML Score
8981
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 27 2025 11:43 AM |
| Views | 2 |
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 | 3.41 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% |
2634
492.9 IPS |
|
|
Image Classification (F16)
|
100% |
10916
2.04 KIPS |
|
|
Image Classification (I8)
|
99% |
11161
2.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1250
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1620
27.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1804
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23582
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
88928
107.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
91520
110.8 IPS |
|
|
Object Detection (F32)
|
100% |
1584
118.3 IPS |
|
|
Object Detection (F16)
|
100% |
3938
294.0 IPS |
|
|
Object Detection (I8)
|
97% |
2245
167.6 IPS |
|
|
Face Detection (F32)
|
100% |
5627
66.9 IPS |
|
|
Face Detection (F16)
|
97% |
20210
240.3 IPS |
|
|
Face Detection (I8)
|
96% |
17649
209.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16383
127.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
46790
362.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
44748
347.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40899
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
140861
185.3 IPS |
|
|
Style Transfer (I8)
|
100% |
144920
190.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6837
244.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36984
1.32 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34053
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2176
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3398
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3430
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
909
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1261
23.2 IPS |
|
|
Machine Translation (I8)
|
99% |
879
16.2 IPS |
