MacBook Pro (13-inch, 2022)
Geekbench ML Score
9959
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 29 2025 06:34 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3465
648.5 IPS |
|
|
Image Classification (F16)
|
100% |
10971
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
11562
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1566
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1983
33.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1941
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23046
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
95106
115.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
88357
107.0 IPS |
|
|
Object Detection (F32)
|
100% |
2158
161.1 IPS |
|
|
Object Detection (F16)
|
100% |
5631
420.4 IPS |
|
|
Object Detection (I8)
|
97% |
2867
214.1 IPS |
|
|
Face Detection (F32)
|
100% |
8923
106.1 IPS |
|
|
Face Detection (F16)
|
97% |
16444
195.5 IPS |
|
|
Face Detection (I8)
|
96% |
19403
230.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16587
128.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
63783
494.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
47661
369.6 IPS |
|
|
Style Transfer (F32)
|
100% |
33978
44.7 IPS |
|
|
Style Transfer (F16)
|
100% |
149227
196.3 IPS |
|
|
Style Transfer (I8)
|
100% |
149101
196.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9823
350.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32844
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31443
1.12 KIPS |
|
|
Text Classification (F32)
|
100% |
2144
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3603
5.18 KIPS |
|
|
Text Classification (I8)
|
96% |
3627
5.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1040
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1403
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1100
20.2 IPS |
