MacBook Pro (13-inch, 2022)
Geekbench ML Score
9029
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 22 2025 07:08 AM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 3.46 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% |
3321
621.4 IPS |
|
|
Image Classification (F16)
|
100% |
9678
1.81 KIPS |
|
|
Image Classification (I8)
|
99% |
11253
2.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1161
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
872
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1678
28.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23217
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
85173
103.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
64720
78.4 IPS |
|
|
Object Detection (F32)
|
100% |
2457
183.4 IPS |
|
|
Object Detection (F16)
|
100% |
5552
414.5 IPS |
|
|
Object Detection (I8)
|
97% |
2820
210.5 IPS |
|
|
Face Detection (F32)
|
100% |
8776
104.3 IPS |
|
|
Face Detection (F16)
|
97% |
19813
235.6 IPS |
|
|
Face Detection (I8)
|
96% |
19944
237.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15807
122.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
43539
337.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
57095
442.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40957
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
130498
171.7 IPS |
|
|
Style Transfer (I8)
|
100% |
145034
190.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5425
193.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34044
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32602
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
1994
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3364
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3373
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
854
15.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (I8)
|
99% |
934
17.2 IPS |
