MacBook Pro (13-inch, 2022)
Geekbench ML Score
7198
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 02 2024 09:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 1.94 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% |
2994
560.2 IPS |
|
|
Image Classification (F16)
|
100% |
9599
1.80 KIPS |
|
|
Image Classification (I8)
|
99% |
9894
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
943
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1165
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1154
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
20965
25.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
61850
74.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
62449
75.6 IPS |
|
|
Object Detection (F32)
|
100% |
2270
169.5 IPS |
|
|
Object Detection (F16)
|
100% |
3701
276.3 IPS |
|
|
Object Detection (I8)
|
97% |
1924
143.6 IPS |
|
|
Face Detection (F32)
|
100% |
7188
85.5 IPS |
|
|
Face Detection (F16)
|
97% |
14445
171.8 IPS |
|
|
Face Detection (I8)
|
96% |
14810
176.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15878
123.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
41826
324.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
44102
342.0 IPS |
|
|
Style Transfer (F32)
|
100% |
35145
46.2 IPS |
|
|
Style Transfer (F16)
|
100% |
118495
155.9 IPS |
|
|
Style Transfer (I8)
|
100% |
115169
151.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6153
219.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24935
890.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
26803
957.2 IPS |
|
|
Text Classification (F32)
|
100% |
1360
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
2207
3.17 KIPS |
|
|
Text Classification (I8)
|
96% |
2183
3.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
528
9.71 IPS |
|
|
Machine Translation (F16)
|
100% |
916
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
392
7.22 IPS |
