MacBook Pro (13-inch, 2022)
Geekbench ML Score
9920
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 09:39 AM |
| Views | 3 |
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 | 3.46 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% |
2600
486.5 IPS |
|
|
Image Classification (F16)
|
100% |
11188
2.09 KIPS |
|
|
Image Classification (I8)
|
99% |
11348
2.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1607
26.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1921
32.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1928
32.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23578
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
94517
114.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
96073
116.3 IPS |
|
|
Object Detection (F32)
|
100% |
2830
211.3 IPS |
|
|
Object Detection (F16)
|
100% |
5503
410.8 IPS |
|
|
Object Detection (I8)
|
97% |
2736
204.2 IPS |
|
|
Face Detection (F32)
|
100% |
9372
111.4 IPS |
|
|
Face Detection (F16)
|
97% |
20327
241.7 IPS |
|
|
Face Detection (I8)
|
96% |
20201
240.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16229
125.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
47554
368.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
42301
328.0 IPS |
|
|
Style Transfer (F32)
|
100% |
37026
48.7 IPS |
|
|
Style Transfer (F16)
|
100% |
136836
180.0 IPS |
|
|
Style Transfer (I8)
|
100% |
146023
192.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9931
354.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
37114
1.33 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34731
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2164
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3497
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3382
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1088
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1253
23.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1059
19.5 IPS |
