MacBook Pro (13-inch, 2022)
Geekbench ML Score
3781
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 05 2024 07:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 | 3.18 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% |
1321
247.2 IPS |
|
|
Image Classification (F16)
|
100% |
2360
441.5 IPS |
|
|
Image Classification (I8)
|
99% |
2386
446.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
823
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1000
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6272
7.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
13751
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13810
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1446
108.0 IPS |
|
|
Object Detection (F16)
|
100% |
2250
168.0 IPS |
|
|
Object Detection (I8)
|
97% |
1421
106.1 IPS |
|
|
Face Detection (F32)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5791
68.9 IPS |
|
|
Face Detection (I8)
|
97% |
5625
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5478
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11028
85.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11207
86.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18293
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26945
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27132
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4231
151.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4984
178.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5057
180.6 IPS |
|
|
Text Classification (F32)
|
100% |
1995
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3256
4.68 KIPS |
|
|
Text Classification (I8)
|
96% |
3233
4.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1346
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1613
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1321
24.3 IPS |
