MacBook Pro (13-inch, 2022)
Geekbench ML Score
9424
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 21 2024 06:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3364
629.6 IPS |
|
|
Image Classification (F16)
|
100% |
11217
2.10 KIPS |
|
|
Image Classification (I8)
|
99% |
11562
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1251
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1912
31.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1875
31.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22651
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
95131
115.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
99288
120.2 IPS |
|
|
Object Detection (F32)
|
100% |
1599
119.3 IPS |
|
|
Object Detection (F16)
|
100% |
6200
462.9 IPS |
|
|
Object Detection (I8)
|
97% |
2806
209.5 IPS |
|
|
Face Detection (F32)
|
100% |
9249
110.0 IPS |
|
|
Face Detection (F16)
|
97% |
19830
235.8 IPS |
|
|
Face Detection (I8)
|
96% |
19826
235.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15868
123.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
48166
373.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
48712
377.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40847
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
140324
184.6 IPS |
|
|
Style Transfer (I8)
|
100% |
133488
175.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7124
254.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34331
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36269
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2053
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3387
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3432
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
690
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1399
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
685
12.6 IPS |
