MacBook Pro (13-inch, 2022)
Geekbench ML Score
9651
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 04 2025 09:40 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
2859
535.0 IPS |
|
|
Image Classification (F16)
|
100% |
8411
1.57 KIPS |
|
|
Image Classification (I8)
|
99% |
12019
2.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1532
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1744
29.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22656
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
67101
81.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
95109
115.2 IPS |
|
|
Object Detection (F32)
|
100% |
2784
207.8 IPS |
|
|
Object Detection (F16)
|
100% |
5440
406.1 IPS |
|
|
Object Detection (I8)
|
97% |
2673
199.5 IPS |
|
|
Face Detection (F32)
|
100% |
9389
111.6 IPS |
|
|
Face Detection (F16)
|
97% |
20247
240.7 IPS |
|
|
Face Detection (I8)
|
96% |
19814
235.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16501
128.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
56595
438.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
51711
401.0 IPS |
|
|
Style Transfer (F32)
|
100% |
39628
52.1 IPS |
|
|
Style Transfer (F16)
|
100% |
136459
179.5 IPS |
|
|
Style Transfer (I8)
|
100% |
150406
197.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8548
305.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30887
1.10 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35297
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2185
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3412
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3411
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
999
18.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1365
25.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1098
20.2 IPS |
