MacBook Pro (13-inch, 2022)
Geekbench AI Score
3467
Single Precision Score
26029
Half Precision Score
29227
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 14 2025 10:25 AM |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
14373
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15490
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19217
311.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23514
381.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
103744
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104977
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
99% |
15255
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17459
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
30736
365.2 IPS |
|
|
Face Detection (Q)
|
100% |
42478
504.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5743
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86256
664.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109079
852.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18643
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201638
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189681
244.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39858
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48706
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3741
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3733
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4098
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4265
73.7 IPS |
