MacBook Pro (13-inch, 2022)
Geekbench ML Score
9204
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 22 2025 05:52 PM |
| Views | 4 |
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% |
3435
642.9 IPS |
|
|
Image Classification (F16)
|
100% |
9705
1.82 KIPS |
|
|
Image Classification (I8)
|
99% |
11268
2.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1413
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1794
30.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1997
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23005
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
94327
114.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
80449
97.4 IPS |
|
|
Object Detection (F32)
|
100% |
2440
182.2 IPS |
|
|
Object Detection (F16)
|
100% |
4629
345.6 IPS |
|
|
Object Detection (I8)
|
97% |
2801
209.1 IPS |
|
|
Face Detection (F32)
|
100% |
8006
95.2 IPS |
|
|
Face Detection (F16)
|
97% |
16475
195.9 IPS |
|
|
Face Detection (I8)
|
96% |
20242
240.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16224
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
45259
351.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
46160
358.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41110
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
140844
185.3 IPS |
|
|
Style Transfer (I8)
|
100% |
150548
198.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7094
253.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27306
975.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
34742
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2100
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3446
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
1616
2.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
885
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1380
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1044
19.2 IPS |
