MacBook Pro (13-inch, 2022)
Geekbench ML Score
9043
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 21 2025 08:30 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 | 3.45 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% |
2459
460.1 IPS |
|
|
Image Classification (F16)
|
100% |
10319
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
11060
2.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1052
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1900
31.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1168
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
20739
25.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
67095
81.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
85729
103.8 IPS |
|
|
Object Detection (F32)
|
100% |
2474
184.7 IPS |
|
|
Object Detection (F16)
|
100% |
5788
432.1 IPS |
|
|
Object Detection (I8)
|
97% |
2733
204.0 IPS |
|
|
Face Detection (F32)
|
100% |
9027
107.3 IPS |
|
|
Face Detection (F16)
|
97% |
18487
219.8 IPS |
|
|
Face Detection (I8)
|
96% |
20245
240.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16407
127.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
57376
445.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
67412
522.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40672
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
121997
160.5 IPS |
|
|
Style Transfer (I8)
|
100% |
139739
183.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6578
234.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23073
824.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
32527
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3380
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3261
4.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
832
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1345
24.8 IPS |
|
|
Machine Translation (I8)
|
99% |
842
15.5 IPS |
