MacBook Pro (13-inch, 2022)
Geekbench ML Score
9518
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 21 2025 06:52 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3397
635.6 IPS |
|
|
Image Classification (F16)
|
100% |
9864
1.85 KIPS |
|
|
Image Classification (I8)
|
99% |
11188
2.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1468
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1931
32.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1904
31.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22887
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
93076
112.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
93875
113.7 IPS |
|
|
Object Detection (F32)
|
100% |
1744
130.2 IPS |
|
|
Object Detection (F16)
|
100% |
5316
396.8 IPS |
|
|
Object Detection (I8)
|
97% |
2847
212.6 IPS |
|
|
Face Detection (F32)
|
100% |
8925
106.1 IPS |
|
|
Face Detection (F16)
|
97% |
15883
188.8 IPS |
|
|
Face Detection (I8)
|
96% |
19348
230.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15736
122.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
44774
347.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
57536
446.2 IPS |
|
|
Style Transfer (F32)
|
100% |
38436
50.6 IPS |
|
|
Style Transfer (F16)
|
100% |
141084
185.6 IPS |
|
|
Style Transfer (I8)
|
100% |
150151
197.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7115
254.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32589
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33778
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2141
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3565
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3556
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
868
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1435
26.4 IPS |
|
|
Machine Translation (I8)
|
99% |
890
16.4 IPS |
