MacBook Pro (13-inch, 2022)
Geekbench ML Score
9107
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 09 2025 02:05 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
3395
635.4 IPS |
|
|
Image Classification (F16)
|
100% |
8586
1.61 KIPS |
|
|
Image Classification (I8)
|
99% |
9557
1.79 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1144
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1899
31.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1896
31.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22534
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
93483
113.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
96022
116.3 IPS |
|
|
Object Detection (F32)
|
100% |
2147
160.3 IPS |
|
|
Object Detection (F16)
|
100% |
5658
422.4 IPS |
|
|
Object Detection (I8)
|
97% |
2777
207.3 IPS |
|
|
Face Detection (F32)
|
100% |
8884
105.6 IPS |
|
|
Face Detection (F16)
|
97% |
19011
226.0 IPS |
|
|
Face Detection (I8)
|
96% |
19376
230.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15619
121.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
42573
330.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
46361
359.5 IPS |
|
|
Style Transfer (F32)
|
100% |
35974
47.3 IPS |
|
|
Style Transfer (F16)
|
100% |
149285
196.4 IPS |
|
|
Style Transfer (I8)
|
100% |
137760
181.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3742
133.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33708
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33472
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2085
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3426
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3365
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
843
15.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
865
15.9 IPS |
