MacBook Pro (13-inch, 2022)
Geekbench AI Score
3428
Single Precision Score
5993
Half Precision Score
4869
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | May 07 2025 12:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1378
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.4 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2754
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6807
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15226
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12957
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.1 IPS |
|
|
Object Detection (HP)
|
97% |
2796
222.6 IPS |
|
|
Object Detection (Q)
|
94% |
2028
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5815
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3405
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5502
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10958
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7712
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18554
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29017
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24086
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3955
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4992
184.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3706
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3893
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3882
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6456
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6453
111.5 IPS |
