MacBook Pro (13-inch, 2022)
Geekbench ML Score
5502
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 23 2024 08:28 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.3 (Build 22G436) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3483
651.7 IPS |
|
|
Image Classification (F16)
|
100% |
3255
609.1 IPS |
|
|
Image Classification (I8)
|
99% |
3479
651.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
838
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
813
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
796
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23326
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25099
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24850
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
3115
232.6 IPS |
|
|
Object Detection (F16)
|
100% |
3179
237.3 IPS |
|
|
Object Detection (I8)
|
97% |
3093
230.9 IPS |
|
|
Face Detection (F32)
|
100% |
10026
119.2 IPS |
|
|
Face Detection (F16)
|
97% |
11370
135.2 IPS |
|
|
Face Detection (I8)
|
96% |
11323
134.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16342
126.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17465
135.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17195
133.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39245
51.6 IPS |
|
|
Style Transfer (F16)
|
100% |
46812
61.6 IPS |
|
|
Style Transfer (I8)
|
100% |
46824
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9707
346.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10241
365.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8275
295.5 IPS |
|
|
Text Classification (F32)
|
100% |
929
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
956
1.37 KIPS |
|
|
Text Classification (I8)
|
96% |
1036
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
1750
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1800
33.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1333
24.5 IPS |
