MacBook Pro (13-inch, 2022)
Geekbench AI Score
3466
Single Precision Score
5975
Half Precision Score
4854
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 20 2025 01:17 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.9 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2862
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6875
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14843
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12756
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.1 IPS |
|
|
Object Detection (HP)
|
97% |
2877
229.1 IPS |
|
|
Object Detection (Q)
|
94% |
2089
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6040
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3531
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11785
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8130
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18738
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28454
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23827
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4082
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3597
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3740
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3750
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5785
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5855
101.2 IPS |
