MacBook Pro (13-inch, 2022)
Geekbench AI Score
3428
Single Precision Score
26654
Half Precision Score
29484
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 13 2025 03:30 AM |
| Views | 3 |
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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
14495
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15283
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19447
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23765
385.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6809
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
104077
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105127
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
99% |
15639
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17467
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33514
398.2 IPS |
|
|
Face Detection (Q)
|
100% |
42468
504.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5516
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86148
663.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
107067
836.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18577
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204939
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
192508
248.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39686
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49975
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3848
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4423
76.4 IPS |
