MacBook Pro (13-inch, 2022)
Geekbench ML Score
9951
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 14 2026 07:41 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 3.29 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% |
3179
594.9 IPS |
|
|
Image Classification (F16)
|
100% |
10412
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11704
2.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1608
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1964
32.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1970
32.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23465
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
94249
114.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
94221
114.1 IPS |
|
|
Object Detection (F32)
|
100% |
2870
214.3 IPS |
|
|
Object Detection (F16)
|
100% |
5484
409.4 IPS |
|
|
Object Detection (I8)
|
97% |
2671
199.4 IPS |
|
|
Face Detection (F32)
|
100% |
7260
86.3 IPS |
|
|
Face Detection (F16)
|
97% |
18997
225.9 IPS |
|
|
Face Detection (I8)
|
96% |
20361
242.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16351
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
62677
486.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
49634
384.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40612
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
135652
178.4 IPS |
|
|
Style Transfer (I8)
|
100% |
143763
189.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8446
301.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35539
1.27 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34250
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2054
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3398
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3384
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1038
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1387
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1036
19.1 IPS |
