MacBook Pro (13-inch, 2022)
Geekbench AI Score
3306
Single Precision Score
26446
Half Precision Score
28893
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Origem |
| Upload Date | November 26 2025 09:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1292
240.4 IPS |
|
|
Image Classification (HP)
|
100% |
14552
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
15459
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19507
316.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23721
384.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6317
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
104565
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105043
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
99% |
15820
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17017
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
34125
405.5 IPS |
|
|
Face Detection (Q)
|
100% |
43782
520.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5464
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87093
671.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
106502
832.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18107
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204637
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189421
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36966
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41525
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3833
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4122
71.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4401
76.1 IPS |
