MacBook Pro (13-inch, 2022)
Geekbench ML Score
9784
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 08 2025 06:07 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3469
649.2 IPS |
|
|
Image Classification (F16)
|
100% |
10828
2.03 KIPS |
|
|
Image Classification (I8)
|
99% |
11798
2.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1304
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1786
29.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1690
28.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23614
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
91623
111.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
97460
118.0 IPS |
|
|
Object Detection (F32)
|
100% |
2197
164.1 IPS |
|
|
Object Detection (F16)
|
100% |
6081
454.0 IPS |
|
|
Object Detection (I8)
|
97% |
2878
214.8 IPS |
|
|
Face Detection (F32)
|
100% |
9042
107.5 IPS |
|
|
Face Detection (F16)
|
97% |
16245
193.2 IPS |
|
|
Face Detection (I8)
|
96% |
19194
228.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16742
129.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
48084
372.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
45860
355.6 IPS |
|
|
Style Transfer (F32)
|
100% |
34423
45.3 IPS |
|
|
Style Transfer (F16)
|
100% |
147152
193.6 IPS |
|
|
Style Transfer (I8)
|
100% |
136795
179.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9850
351.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33948
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33905
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2121
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3545
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3538
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1094
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1421
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1088
20.0 IPS |
