MacBook Pro (13-inch, 2022)
Geekbench ML Score
9075
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 07 2025 06:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.46 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% |
1855
347.1 IPS |
|
|
Image Classification (F16)
|
100% |
10825
2.03 KIPS |
|
|
Image Classification (I8)
|
99% |
11657
2.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1339
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1880
31.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1445
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22980
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
94434
114.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
97395
117.9 IPS |
|
|
Object Detection (F32)
|
100% |
1978
147.6 IPS |
|
|
Object Detection (F16)
|
100% |
5098
380.6 IPS |
|
|
Object Detection (I8)
|
97% |
1901
142.0 IPS |
|
|
Face Detection (F32)
|
100% |
9243
109.9 IPS |
|
|
Face Detection (F16)
|
97% |
18017
214.2 IPS |
|
|
Face Detection (I8)
|
96% |
18114
215.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
11232
87.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
63488
492.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
47898
371.4 IPS |
|
|
Style Transfer (F32)
|
100% |
31555
41.5 IPS |
|
|
Style Transfer (F16)
|
100% |
131174
172.5 IPS |
|
|
Style Transfer (I8)
|
100% |
139673
183.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9715
346.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32270
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34062
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2129
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3397
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3446
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
876
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1250
23.0 IPS |
|
|
Machine Translation (I8)
|
99% |
911
16.8 IPS |
