MacBook Pro (13-inch, 2022)
Geekbench AI Score
3465
Single Precision Score
26336
Half Precision Score
28998
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 17 2025 03:49 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% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
13994
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
14626
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19154
310.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23805
385.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
104437
121.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104776
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
15521
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16579
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
32485
386.0 IPS |
|
|
Face Detection (Q)
|
100% |
43058
511.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5726
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87781
676.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
107449
839.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18631
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201557
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189954
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41384
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49065
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3768
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4093
70.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4279
73.9 IPS |
