MacBook Pro (13-inch, 2022)
Geekbench ML Score
9753
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 04 2025 07:18 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
3369
630.4 IPS |
|
|
Image Classification (F16)
|
100% |
10260
1.92 KIPS |
|
|
Image Classification (I8)
|
99% |
11473
2.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1485
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1977
33.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1504
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23063
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
94391
114.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
96044
116.3 IPS |
|
|
Object Detection (F32)
|
100% |
2200
164.2 IPS |
|
|
Object Detection (F16)
|
100% |
4635
346.0 IPS |
|
|
Object Detection (I8)
|
97% |
2823
210.8 IPS |
|
|
Face Detection (F32)
|
100% |
9394
111.7 IPS |
|
|
Face Detection (F16)
|
97% |
20317
241.6 IPS |
|
|
Face Detection (I8)
|
96% |
19991
237.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15931
123.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
53545
415.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
57001
442.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40895
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
149817
197.1 IPS |
|
|
Style Transfer (I8)
|
100% |
144344
189.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7450
266.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35835
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34223
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2114
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3437
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3496
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
880
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1436
26.4 IPS |
|
|
Machine Translation (I8)
|
99% |
932
17.2 IPS |
