MacBook Pro (13-inch, 2022)
Geekbench AI Score
6666
Single Precision Score
7559
Half Precision Score
6622
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 14 2025 10:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3702
688.4 IPS |
|
|
Image Classification (HP)
|
100% |
3601
669.6 IPS |
|
|
Image Classification (Q)
|
97% |
2999
559.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4039
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4994
80.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5134
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24536
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26309
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24409
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3505
278.0 IPS |
|
|
Object Detection (HP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (Q)
|
91% |
3091
247.0 IPS |
|
|
Face Detection (SP)
|
100% |
10424
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
12001
142.6 IPS |
|
|
Face Detection (Q)
|
100% |
8407
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16703
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17834
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14920
116.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42677
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48697
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
45455
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9817
362.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10143
374.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8136
300.4 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3734
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
806
13.9 IPS |
