MacBook Pro (13-inch, 2022)
Geekbench ML Score
9709
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2025 06:24 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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 | 3.46 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% |
3324
622.0 IPS |
|
|
Image Classification (F16)
|
100% |
11190
2.09 KIPS |
|
|
Image Classification (I8)
|
99% |
11364
2.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1434
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1951
32.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1971
32.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22252
26.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
90890
110.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
94579
114.5 IPS |
|
|
Object Detection (F32)
|
100% |
2863
213.7 IPS |
|
|
Object Detection (F16)
|
100% |
5536
413.3 IPS |
|
|
Object Detection (I8)
|
97% |
2856
213.2 IPS |
|
|
Face Detection (F32)
|
100% |
9085
108.0 IPS |
|
|
Face Detection (F16)
|
97% |
16134
191.8 IPS |
|
|
Face Detection (I8)
|
96% |
20028
238.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16347
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
48061
372.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
50527
391.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40543
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
133494
175.6 IPS |
|
|
Style Transfer (I8)
|
100% |
149732
197.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7628
272.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33893
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35128
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2043
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3385
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3286
4.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
867
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
868
16.0 IPS |
