MacBook Pro (13-inch, 2022)
Geekbench ML Score
9559
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 26 2025 05:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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% |
3398
635.8 IPS |
|
|
Image Classification (F16)
|
100% |
9680
1.81 KIPS |
|
|
Image Classification (I8)
|
99% |
8497
1.59 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1193
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1618
27.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1710
28.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23359
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
94423
114.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
93399
113.1 IPS |
|
|
Object Detection (F32)
|
100% |
2781
207.6 IPS |
|
|
Object Detection (F16)
|
100% |
5411
404.0 IPS |
|
|
Object Detection (I8)
|
97% |
2812
209.9 IPS |
|
|
Face Detection (F32)
|
100% |
8650
102.8 IPS |
|
|
Face Detection (F16)
|
97% |
18821
223.8 IPS |
|
|
Face Detection (I8)
|
96% |
19292
229.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15954
123.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
42486
329.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
60693
470.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40284
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
134359
176.7 IPS |
|
|
Style Transfer (I8)
|
100% |
136914
180.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8436
301.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35991
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34606
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2057
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3426
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3408
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1024
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1328
24.4 IPS |
|
|
Machine Translation (I8)
|
99% |
981
18.1 IPS |
