MacBook Pro (13-inch, 2022)
Geekbench ML Score
9083
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 08 2025 06:14 PM |
| Views | 5 |
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 | 3.37 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% |
2296
429.7 IPS |
|
|
Image Classification (F16)
|
100% |
11090
2.08 KIPS |
|
|
Image Classification (I8)
|
99% |
11566
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1072
17.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1774
29.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1373
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
17269
20.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
85801
103.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
85525
103.6 IPS |
|
|
Object Detection (F32)
|
100% |
2739
204.5 IPS |
|
|
Object Detection (F16)
|
100% |
5286
394.7 IPS |
|
|
Object Detection (I8)
|
97% |
1688
126.0 IPS |
|
|
Face Detection (F32)
|
100% |
8159
97.0 IPS |
|
|
Face Detection (F16)
|
97% |
17239
205.0 IPS |
|
|
Face Detection (I8)
|
96% |
17734
210.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16183
125.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
63041
488.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
67376
522.5 IPS |
|
|
Style Transfer (F32)
|
100% |
34233
45.0 IPS |
|
|
Style Transfer (F16)
|
100% |
138269
181.9 IPS |
|
|
Style Transfer (I8)
|
100% |
140277
184.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9923
354.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33269
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34671
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2004
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3506
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3520
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
706
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
739
13.6 IPS |
