MacBook Pro (13-inch, 2022)
Geekbench ML Score
9715
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 15 2025 06:44 PM |
| Views | 2 |
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% |
2803
524.6 IPS |
|
|
Image Classification (F16)
|
100% |
10718
2.01 KIPS |
|
|
Image Classification (I8)
|
99% |
8783
1.64 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1397
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1914
32.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1917
32.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23481
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
94890
114.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
63376
76.7 IPS |
|
|
Object Detection (F32)
|
100% |
2849
212.7 IPS |
|
|
Object Detection (F16)
|
100% |
5386
402.1 IPS |
|
|
Object Detection (I8)
|
97% |
2916
217.7 IPS |
|
|
Face Detection (F32)
|
100% |
9049
107.6 IPS |
|
|
Face Detection (F16)
|
97% |
16202
192.6 IPS |
|
|
Face Detection (I8)
|
96% |
17077
203.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
14841
115.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
61337
475.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
66965
519.3 IPS |
|
|
Style Transfer (F32)
|
100% |
39438
51.9 IPS |
|
|
Style Transfer (F16)
|
100% |
145802
191.8 IPS |
|
|
Style Transfer (I8)
|
100% |
144993
190.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8116
289.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34929
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
26808
957.4 IPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3504
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3720
5.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
1152
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1416
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1139
21.0 IPS |
