MacBook Pro (13-inch, 2022)
Geekbench ML Score
9279
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 16 2025 07:26 PM |
| Views | 7 |
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 | 3.30 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% |
3499
654.7 IPS |
|
|
Image Classification (F16)
|
100% |
10398
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11577
2.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1332
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1529
25.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1906
31.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22218
26.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
88150
106.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
95608
115.8 IPS |
|
|
Object Detection (F32)
|
100% |
2900
216.5 IPS |
|
|
Object Detection (F16)
|
100% |
5387
402.1 IPS |
|
|
Object Detection (I8)
|
97% |
2906
217.0 IPS |
|
|
Face Detection (F32)
|
100% |
9106
108.3 IPS |
|
|
Face Detection (F16)
|
97% |
15974
189.9 IPS |
|
|
Face Detection (I8)
|
96% |
19290
229.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16220
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
56829
440.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
72502
562.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40194
52.9 IPS |
|
|
Style Transfer (F16)
|
100% |
150850
198.4 IPS |
|
|
Style Transfer (I8)
|
100% |
150710
198.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5279
188.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25465
909.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
25681
917.1 IPS |
|
|
Text Classification (F32)
|
100% |
737
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3632
5.22 KIPS |
|
|
Text Classification (I8)
|
96% |
3606
5.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1060
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1418
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
889
16.4 IPS |
