MacBook Pro (13-inch, 2022)
Geekbench ML Score
9008
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 12 2024 04:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C100) |
| 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 | 3.46 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% |
3362
629.1 IPS |
|
|
Image Classification (F16)
|
100% |
10967
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
11371
2.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1103
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1745
29.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1744
29.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22574
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
95738
115.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
92780
112.4 IPS |
|
|
Object Detection (F32)
|
100% |
2188
163.4 IPS |
|
|
Object Detection (F16)
|
100% |
4848
361.9 IPS |
|
|
Object Detection (I8)
|
97% |
2724
203.4 IPS |
|
|
Face Detection (F32)
|
100% |
8766
104.2 IPS |
|
|
Face Detection (F16)
|
97% |
19493
231.8 IPS |
|
|
Face Detection (I8)
|
96% |
14862
176.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15701
121.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
56310
436.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
60219
467.0 IPS |
|
|
Style Transfer (F32)
|
100% |
26992
35.5 IPS |
|
|
Style Transfer (F16)
|
100% |
131260
172.7 IPS |
|
|
Style Transfer (I8)
|
100% |
132784
174.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5749
205.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
29616
1.06 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31227
1.12 KIPS |
|
|
Text Classification (F32)
|
100% |
1930
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3396
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3406
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
768
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1373
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
672
12.4 IPS |
