MacBook Pro (13-inch, 2022)
Geekbench AI Score
3448
Single Precision Score
26370
Half Precision Score
29294
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 22 2025 11:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1319
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
14294
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15528
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19069
309.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23862
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6858
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
103407
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104865
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
15624
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17622
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
33356
396.3 IPS |
|
|
Face Detection (Q)
|
100% |
42854
509.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5772
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86330
665.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108066
844.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18718
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201120
258.5 IPS |
|
|
Style Transfer (Q)
|
96% |
192101
247.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41448
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47500
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3740
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3729
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4113
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4314
74.5 IPS |
