MacBook Pro (13-inch, 2022)
Geekbench ML Score
9316
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 28 2025 09:12 AM |
| Views | 2 |
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 | 3.38 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% |
3558
665.7 IPS |
|
|
Image Classification (F16)
|
100% |
10444
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11758
2.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1308
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1466
24.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1850
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22774
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
70743
85.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
78555
95.1 IPS |
|
|
Object Detection (F32)
|
100% |
2857
213.3 IPS |
|
|
Object Detection (F16)
|
100% |
5288
394.8 IPS |
|
|
Object Detection (I8)
|
97% |
2809
209.7 IPS |
|
|
Face Detection (F32)
|
100% |
8941
106.3 IPS |
|
|
Face Detection (F16)
|
97% |
17831
212.0 IPS |
|
|
Face Detection (I8)
|
96% |
15528
184.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16378
127.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
61537
477.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
54192
420.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41128
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
136869
180.0 IPS |
|
|
Style Transfer (I8)
|
100% |
135283
178.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7919
282.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33669
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35942
1.28 KIPS |
|
|
Text Classification (F32)
|
100% |
1387
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3409
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3433
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
912
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1193
21.9 IPS |
|
|
Machine Translation (I8)
|
99% |
825
15.2 IPS |
