MacBook Pro (13-inch, 2022)
Geekbench ML Score
9208
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 02 2025 06:53 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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% |
2098
392.7 IPS |
|
|
Image Classification (F16)
|
100% |
10137
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
11432
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1553
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1955
32.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1609
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
13872
16.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
94202
114.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96072
116.3 IPS |
|
|
Object Detection (F32)
|
100% |
2835
211.6 IPS |
|
|
Object Detection (F16)
|
100% |
4365
325.9 IPS |
|
|
Object Detection (I8)
|
97% |
1872
139.8 IPS |
|
|
Face Detection (F32)
|
100% |
8394
99.8 IPS |
|
|
Face Detection (F16)
|
97% |
15918
189.3 IPS |
|
|
Face Detection (I8)
|
96% |
17590
209.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16082
124.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
63524
492.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
65764
510.0 IPS |
|
|
Style Transfer (F32)
|
100% |
36597
48.1 IPS |
|
|
Style Transfer (F16)
|
100% |
144465
190.0 IPS |
|
|
Style Transfer (I8)
|
100% |
149096
196.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7102
253.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33489
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33764
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2122
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3413
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3399
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
942
17.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1222
22.5 IPS |
|
|
Machine Translation (I8)
|
99% |
860
15.8 IPS |
