MacBook Pro (13-inch, 2022)
Geekbench ML Score
9576
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 17 2025 07:00 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.48 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% |
3432
642.1 IPS |
|
|
Image Classification (F16)
|
100% |
10166
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
11066
2.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1845
30.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1918
32.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23365
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
77749
94.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
69749
84.5 IPS |
|
|
Object Detection (F32)
|
100% |
2888
215.6 IPS |
|
|
Object Detection (F16)
|
100% |
5973
446.0 IPS |
|
|
Object Detection (I8)
|
97% |
2853
213.0 IPS |
|
|
Face Detection (F32)
|
100% |
8678
103.2 IPS |
|
|
Face Detection (F16)
|
97% |
15906
189.1 IPS |
|
|
Face Detection (I8)
|
96% |
18677
222.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16223
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
55601
431.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
45476
352.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40806
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
142837
187.9 IPS |
|
|
Style Transfer (I8)
|
100% |
135371
178.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9723
347.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33468
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35584
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2053
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3341
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3305
4.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
867
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1412
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
869
16.0 IPS |
