MacBook Pro (13-inch, 2022)
Geekbench ML Score
9186
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 04:27 PM |
| Views | 4 |
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 | 3.44 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% |
3434
642.6 IPS |
|
|
Image Classification (F16)
|
100% |
11314
2.12 KIPS |
|
|
Image Classification (I8)
|
99% |
11557
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1248
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1650
27.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1668
27.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
20643
25.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
90610
109.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
97051
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
2201
164.3 IPS |
|
|
Object Detection (F16)
|
100% |
4767
355.9 IPS |
|
|
Object Detection (I8)
|
97% |
2579
192.6 IPS |
|
|
Face Detection (F32)
|
100% |
8275
98.4 IPS |
|
|
Face Detection (F16)
|
97% |
18456
219.4 IPS |
|
|
Face Detection (I8)
|
96% |
18607
221.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8496
65.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
44983
348.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
45786
355.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40443
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
136241
179.2 IPS |
|
|
Style Transfer (I8)
|
100% |
143561
188.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6682
238.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36464
1.30 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33686
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2186
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3478
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3411
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
943
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1404
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
934
17.2 IPS |
