MacBook Pro (13-inch, 2022)
Geekbench ML Score
9869
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 24 2025 07:30 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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% |
3368
630.2 IPS |
|
|
Image Classification (F16)
|
100% |
10634
1.99 KIPS |
|
|
Image Classification (I8)
|
99% |
11453
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1527
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1801
30.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1804
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22383
27.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
93398
113.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96586
117.0 IPS |
|
|
Object Detection (F32)
|
100% |
2745
204.9 IPS |
|
|
Object Detection (F16)
|
100% |
4838
361.2 IPS |
|
|
Object Detection (I8)
|
97% |
2653
198.0 IPS |
|
|
Face Detection (F32)
|
100% |
9268
110.2 IPS |
|
|
Face Detection (F16)
|
97% |
20227
240.5 IPS |
|
|
Face Detection (I8)
|
96% |
20260
240.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16244
126.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
43576
337.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
52260
405.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40364
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
141364
186.0 IPS |
|
|
Style Transfer (I8)
|
100% |
140337
184.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8467
302.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35089
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34336
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2138
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3422
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3408
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1072
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1394
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1090
20.1 IPS |
