MacBook Pro (13-inch, 2022)
Geekbench ML Score
3816
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 15 2024 04:15 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1318
246.6 IPS |
|
|
Image Classification (F16)
|
100% |
2423
453.5 IPS |
|
|
Image Classification (I8)
|
99% |
2389
447.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1085
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1116
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6307
7.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
13991
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13846
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1377
102.8 IPS |
|
|
Object Detection (F16)
|
100% |
2324
173.5 IPS |
|
|
Object Detection (I8)
|
97% |
1449
108.2 IPS |
|
|
Face Detection (F32)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5832
69.3 IPS |
|
|
Face Detection (I8)
|
97% |
5772
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5610
43.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11216
87.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11358
88.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18113
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
24961
32.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28158
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4114
146.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4872
174.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5024
179.4 IPS |
|
|
Text Classification (F32)
|
100% |
2043
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3439
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3448
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1393
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1577
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1375
25.3 IPS |
