MacBook Pro (13-inch, 2022)
Geekbench AI Score
7723
Single Precision Score
8532
Half Precision Score
7912
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 14 2025 05:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3699
687.9 IPS |
|
|
Image Classification (HP)
|
100% |
3748
697.0 IPS |
|
|
Image Classification (Q)
|
96% |
3423
639.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5877
95.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5979
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5698
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24736
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26851
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26041
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3560
282.4 IPS |
|
|
Object Detection (HP)
|
100% |
3657
290.1 IPS |
|
|
Object Detection (Q)
|
92% |
3479
277.7 IPS |
|
|
Face Detection (SP)
|
100% |
10524
125.0 IPS |
|
|
Face Detection (HP)
|
100% |
12281
145.9 IPS |
|
|
Face Detection (Q)
|
100% |
10177
120.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16909
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18376
141.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
16763
130.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42756
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49335
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47845
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9969
368.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10277
379.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8929
329.7 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3861
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2332
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2103
36.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1935
33.4 IPS |
