MacBook Pro (13-inch, 2022)
Geekbench AI Score
3476
Single Precision Score
5979
Half Precision Score
4839
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 18 2025 08:33 AM |
| Views | 3 |
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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.3 IPS |
|
|
Image Classification (Q)
|
96% |
1770
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2873
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6908
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14858
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12811
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2893
230.3 IPS |
|
|
Object Detection (Q)
|
94% |
2087
166.3 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6058
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3491
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11671
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8016
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18706
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28456
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23777
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4858
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3587
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3795
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3757
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5810
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5779
99.9 IPS |
