MacBook Pro (13-inch, 2022)
Geekbench AI Score
3430
Single Precision Score
26543
Half Precision Score
29557
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 19 2025 02:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
14338
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15499
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19332
313.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23966
388.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6825
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
102278
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106680
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
15402
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17302
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
33595
399.2 IPS |
|
|
Face Detection (Q)
|
100% |
42517
505.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5529
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85962
662.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
108105
844.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18605
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203779
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
196371
253.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3938
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39958
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47766
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3921
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4391
75.9 IPS |
