MacBook Pro (13-inch, 2022)
Geekbench AI Score
3468
Single Precision Score
26299
Half Precision Score
29237
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 14 2025 10:27 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
14227
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
14382
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19085
309.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23992
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6865
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
102749
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104817
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
15309
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17532
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33550
398.6 IPS |
|
|
Face Detection (Q)
|
100% |
42826
508.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5760
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87331
672.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108368
846.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18502
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
201683
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
191815
247.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40552
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52160
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3697
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4194
72.5 IPS |
