MacBook Pro (13-inch, 2022)
Geekbench ML Score
8891
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 04 2025 05:29 PM |
| Views | 18 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.30 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% |
1794
335.8 IPS |
|
|
Image Classification (F16)
|
100% |
10277
1.92 KIPS |
|
|
Image Classification (I8)
|
99% |
11107
2.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1315
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1694
28.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1553
25.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
17488
21.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
94796
114.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
97198
117.7 IPS |
|
|
Object Detection (F32)
|
100% |
2581
192.7 IPS |
|
|
Object Detection (F16)
|
100% |
4904
366.1 IPS |
|
|
Object Detection (I8)
|
97% |
1774
132.4 IPS |
|
|
Face Detection (F32)
|
100% |
7398
88.0 IPS |
|
|
Face Detection (F16)
|
97% |
18238
216.8 IPS |
|
|
Face Detection (I8)
|
96% |
20134
239.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16404
127.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
47192
366.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
50026
388.0 IPS |
|
|
Style Transfer (F32)
|
100% |
37516
49.3 IPS |
|
|
Style Transfer (F16)
|
100% |
137515
180.9 IPS |
|
|
Style Transfer (I8)
|
100% |
147213
193.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5038
179.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34644
1.24 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31640
1.13 KIPS |
|
|
Text Classification (F32)
|
100% |
2085
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3517
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3475
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
866
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1382
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
855
15.7 IPS |
