MacBook Pro (13-inch, 2022)
Geekbench ML Score
9630
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 13 2025 06:34 PM |
| Views | 11 |
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 | 3.47 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% |
3323
621.8 IPS |
|
|
Image Classification (F16)
|
100% |
10429
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11105
2.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1180
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1466
24.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1954
32.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23012
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
94268
114.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
93618
113.4 IPS |
|
|
Object Detection (F32)
|
100% |
2247
167.8 IPS |
|
|
Object Detection (F16)
|
100% |
4881
364.4 IPS |
|
|
Object Detection (I8)
|
97% |
2824
210.8 IPS |
|
|
Face Detection (F32)
|
100% |
8993
106.9 IPS |
|
|
Face Detection (F16)
|
97% |
19652
233.7 IPS |
|
|
Face Detection (I8)
|
96% |
19209
228.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15968
123.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
66482
515.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
71994
558.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40823
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
139654
183.7 IPS |
|
|
Style Transfer (I8)
|
100% |
146424
192.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5745
205.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33200
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32118
1.15 KIPS |
|
|
Text Classification (F32)
|
100% |
2143
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3581
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3596
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1411
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
876
16.1 IPS |
