MacBook Pro (13-inch, 2022)
Geekbench AI Score
3296
Single Precision Score
26120
Half Precision Score
30004
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | October 11 2024 03:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
14281
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14945
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18927
306.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24103
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6835
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
105706
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104718
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
99% |
15769
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17718
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
22817
271.1 IPS |
|
|
Face Detection (Q)
|
100% |
37513
445.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5363
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
84980
654.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
96213
751.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18155
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
188727
242.6 IPS |
|
|
Style Transfer (Q)
|
96% |
188146
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3031
111.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36851
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48717
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2214
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3577
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6682
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7478
129.2 IPS |
