MacBook Pro (13-inch, 2022)
Geekbench AI Score
3467
Single Precision Score
5978
Half Precision Score
4829
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 17 2025 03:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.5 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2870
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14814
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12766
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2874
228.8 IPS |
|
|
Object Detection (Q)
|
94% |
2061
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6073
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5750
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11662
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8004
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18661
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28907
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23688
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3599
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3736
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5832
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5816
100.5 IPS |
