MacBook Pro (13-inch, 2022)
Geekbench ML Score
9224
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 20 2025 07:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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% |
3293
616.3 IPS |
|
|
Image Classification (F16)
|
100% |
10823
2.03 KIPS |
|
|
Image Classification (I8)
|
99% |
10951
2.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1180
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1849
30.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1988
33.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22989
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
88579
107.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
98021
118.7 IPS |
|
|
Object Detection (F32)
|
100% |
2265
169.1 IPS |
|
|
Object Detection (F16)
|
100% |
5476
408.8 IPS |
|
|
Object Detection (I8)
|
97% |
2569
191.8 IPS |
|
|
Face Detection (F32)
|
100% |
8911
106.0 IPS |
|
|
Face Detection (F16)
|
97% |
18470
219.6 IPS |
|
|
Face Detection (I8)
|
96% |
19708
234.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16679
129.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
67309
522.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
46273
358.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40783
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
142840
187.9 IPS |
|
|
Style Transfer (I8)
|
100% |
144132
189.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6659
237.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32226
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32464
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
1983
2.85 KIPS |
|
|
Text Classification (F16)
|
100% |
2784
4.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3365
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
591
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1313
24.2 IPS |
|
|
Machine Translation (I8)
|
99% |
581
10.7 IPS |
