MacBook Pro (13-inch, 2022)
Geekbench AI Score
6720
Single Precision Score
7612
Half Precision Score
6660
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | October 11 2024 02:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3617
672.7 IPS |
|
|
Image Classification (HP)
|
100% |
3614
672.1 IPS |
|
|
Image Classification (Q)
|
97% |
3000
559.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3965
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5002
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5114
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24621
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26193
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24339
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3619
287.1 IPS |
|
|
Object Detection (HP)
|
100% |
3667
290.9 IPS |
|
|
Object Detection (Q)
|
91% |
3031
242.2 IPS |
|
|
Face Detection (SP)
|
100% |
10315
122.6 IPS |
|
|
Face Detection (HP)
|
100% |
11944
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
8376
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16519
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17800
137.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14811
115.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42711
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48632
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45381
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9935
366.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10276
379.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8068
297.9 IPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3595
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.0 IPS |
