MacBook Pro (13-inch, 2022)
Geekbench ML Score
6820
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3417
639.3 IPS |
|
|
Image Classification (F16)
|
100% |
6547
1.23 KIPS |
|
|
Image Classification (I8)
|
99% |
7068
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1101
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1472
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23026
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
83586
101.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
84875
102.8 IPS |
|
|
Object Detection (F32)
|
100% |
2835
211.6 IPS |
|
|
Object Detection (F16)
|
100% |
3856
287.9 IPS |
|
|
Object Detection (I8)
|
97% |
2630
196.4 IPS |
|
|
Face Detection (F32)
|
100% |
8175
97.2 IPS |
|
|
Face Detection (F16)
|
97% |
10572
125.7 IPS |
|
|
Face Detection (I8)
|
96% |
10289
122.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16217
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
35605
276.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
38921
301.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40295
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
128736
169.3 IPS |
|
|
Style Transfer (I8)
|
100% |
134516
176.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6435
229.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18523
661.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18496
660.6 IPS |
|
|
Text Classification (F32)
|
100% |
753
1.08 KIPS |
|
|
Text Classification (F16)
|
100% |
578
830.3 IPS |
|
|
Text Classification (I8)
|
96% |
659
947.3 IPS |
|
|
Machine Translation (F32)
|
100% |
664
12.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2093
38.5 IPS |
|
|
Machine Translation (I8)
|
99% |
627
11.5 IPS |
