MacBook Pro (13-inch, 2022)
Geekbench ML Score
9719
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 31 2025 06:50 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.48 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
629.4 IPS |
|
|
Image Classification (F16)
|
100% |
10431
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11774
2.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1390
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1837
30.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1972
32.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23255
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
94993
115.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
97344
117.9 IPS |
|
|
Object Detection (F32)
|
100% |
2866
214.0 IPS |
|
|
Object Detection (F16)
|
100% |
5451
406.9 IPS |
|
|
Object Detection (I8)
|
97% |
2805
209.4 IPS |
|
|
Face Detection (F32)
|
100% |
8775
104.3 IPS |
|
|
Face Detection (F16)
|
97% |
18117
215.4 IPS |
|
|
Face Detection (I8)
|
96% |
18694
222.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15920
123.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
48737
378.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
43845
340.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41036
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
141648
186.3 IPS |
|
|
Style Transfer (I8)
|
100% |
131104
172.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9130
326.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35807
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34375
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
1994
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3479
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3475
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
867
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1406
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
853
15.7 IPS |
