MacBook Pro (13-inch, 2022)
Geekbench ML Score
9467
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 16 2025 06:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
3382
632.8 IPS |
|
|
Image Classification (F16)
|
100% |
11225
2.10 KIPS |
|
|
Image Classification (I8)
|
99% |
11832
2.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1408
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2016
33.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1997
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23001
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
94892
114.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
90209
109.2 IPS |
|
|
Object Detection (F32)
|
100% |
1807
134.9 IPS |
|
|
Object Detection (F16)
|
100% |
4824
360.2 IPS |
|
|
Object Detection (I8)
|
97% |
2874
214.5 IPS |
|
|
Face Detection (F32)
|
100% |
9315
110.8 IPS |
|
|
Face Detection (F16)
|
97% |
19554
232.5 IPS |
|
|
Face Detection (I8)
|
96% |
18606
221.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16158
125.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
46637
361.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
67869
526.3 IPS |
|
|
Style Transfer (F32)
|
100% |
37453
49.3 IPS |
|
|
Style Transfer (F16)
|
100% |
151365
199.1 IPS |
|
|
Style Transfer (I8)
|
100% |
146061
192.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3216
114.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35078
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37494
1.34 KIPS |
|
|
Text Classification (F32)
|
100% |
2070
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3330
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3396
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
867
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1425
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
879
16.2 IPS |
