MacBook Pro (13-inch, 2022)
Geekbench AI Score
3417
Single Precision Score
26729
Half Precision Score
29803
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 10 2025 07:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
14401
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
16008
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19656
318.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24095
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6809
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
106765
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105943
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.1 IPS |
|
|
Object Detection (HP)
|
99% |
15587
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17483
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33625
399.5 IPS |
|
|
Face Detection (Q)
|
100% |
42587
506.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5530
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86607
667.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
108896
851.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18605
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203683
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193953
250.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39707
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49680
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3887
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4456
77.0 IPS |
