MacBook Pro (13-inch, 2022)
Geekbench ML Score
9824
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 08 2025 07:01 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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 | 3.48 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% |
3464
648.2 IPS |
|
|
Image Classification (F16)
|
100% |
10502
1.97 KIPS |
|
|
Image Classification (I8)
|
99% |
11770
2.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1491
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1930
32.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2025
33.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23174
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
93835
113.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
96871
117.3 IPS |
|
|
Object Detection (F32)
|
100% |
2800
209.1 IPS |
|
|
Object Detection (F16)
|
100% |
5457
407.4 IPS |
|
|
Object Detection (I8)
|
97% |
2819
210.4 IPS |
|
|
Face Detection (F32)
|
100% |
9326
110.9 IPS |
|
|
Face Detection (F16)
|
97% |
20413
242.7 IPS |
|
|
Face Detection (I8)
|
96% |
19854
236.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16026
124.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
51218
397.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
49863
386.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40321
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
149605
196.8 IPS |
|
|
Style Transfer (I8)
|
100% |
149490
196.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9786
349.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32312
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34991
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2052
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3397
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3391
4.87 KIPS |
|
|
Machine Translation (F32)
|
0% |
731
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (I8)
|
0% |
717
13.2 IPS |
