MacBook Pro (13-inch, 2022)
Geekbench AI Score
6636
Single Precision Score
7427
Half Precision Score
6408
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 05 2025 03:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3650
678.7 IPS |
|
|
Image Classification (HP)
|
100% |
3641
677.2 IPS |
|
|
Image Classification (Q)
|
97% |
2966
553.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4054
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5000
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5106
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24613
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26300
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24491
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3515
278.8 IPS |
|
|
Object Detection (HP)
|
100% |
3698
293.3 IPS |
|
|
Object Detection (Q)
|
91% |
3053
244.0 IPS |
|
|
Face Detection (SP)
|
100% |
10460
124.3 IPS |
|
|
Face Detection (HP)
|
100% |
11942
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
8403
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16669
128.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17791
137.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14906
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42672
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48665
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
45456
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9719
358.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10503
387.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7964
294.1 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3759
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
605
10.5 IPS |
