MacBook Pro (13-inch, 2022)
Geekbench ML Score
9654
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 07 2025 03:12 PM |
| Views | 5 |
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 | 3.12 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% |
3052
571.2 IPS |
|
|
Image Classification (F16)
|
100% |
10705
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
11456
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1278
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1807
30.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1962
32.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23746
28.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
86804
105.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
87274
105.7 IPS |
|
|
Object Detection (F32)
|
100% |
2735
204.2 IPS |
|
|
Object Detection (F16)
|
100% |
4952
369.7 IPS |
|
|
Object Detection (I8)
|
97% |
2588
193.2 IPS |
|
|
Face Detection (F32)
|
100% |
9230
109.7 IPS |
|
|
Face Detection (F16)
|
97% |
17612
209.4 IPS |
|
|
Face Detection (I8)
|
96% |
16944
201.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16651
129.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
64023
496.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
64225
498.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40796
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
124699
164.0 IPS |
|
|
Style Transfer (I8)
|
100% |
139967
184.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7199
257.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30548
1.09 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36558
1.31 KIPS |
|
|
Text Classification (F32)
|
100% |
2026
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3380
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3460
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
971
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1301
23.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1008
18.6 IPS |
