MacBook Pro (13-inch, 2022)
Geekbench ML Score
9567
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 26 2025 06:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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% |
3439
643.6 IPS |
|
|
Image Classification (F16)
|
100% |
10710
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
11565
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1407
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1790
29.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1860
31.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23020
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
56382
68.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
73837
89.4 IPS |
|
|
Object Detection (F32)
|
100% |
2566
191.5 IPS |
|
|
Object Detection (F16)
|
100% |
5827
435.0 IPS |
|
|
Object Detection (I8)
|
97% |
2450
182.9 IPS |
|
|
Face Detection (F32)
|
100% |
7390
87.9 IPS |
|
|
Face Detection (F16)
|
97% |
17324
206.0 IPS |
|
|
Face Detection (I8)
|
96% |
18847
224.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16261
126.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
46364
359.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
48969
379.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40653
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
149378
196.5 IPS |
|
|
Style Transfer (I8)
|
100% |
150016
197.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9578
342.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33783
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32817
1.17 KIPS |
|
|
Text Classification (F32)
|
100% |
2173
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3523
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3477
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1068
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1408
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1097
20.2 IPS |
