MacBook Pro (13-inch, 2022)
Geekbench AI Score
7283
Single Precision Score
8240
Half Precision Score
7772
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 21 2025 06:27 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
3721
691.9 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
3374
630.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5671
91.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5883
95.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5625
91.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24273
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26632
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26238
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
3550
281.6 IPS |
|
|
Object Detection (HP)
|
100% |
3701
293.6 IPS |
|
|
Object Detection (Q)
|
92% |
3465
276.6 IPS |
|
|
Face Detection (SP)
|
100% |
10076
119.7 IPS |
|
|
Face Detection (HP)
|
100% |
11865
141.0 IPS |
|
|
Face Detection (Q)
|
100% |
9823
116.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16480
127.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18241
140.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16746
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42534
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49043
63.0 IPS |
|
|
Style Transfer (Q)
|
96% |
47608
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9842
363.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10176
375.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9475
349.9 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3831
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3861
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1627
28.1 IPS |
