MacBook Pro (13-inch, 2022)
Geekbench AI Score
7587
Single Precision Score
8365
Half Precision Score
7841
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 14 2025 05:50 PM |
| Views | 4 |
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% |
3747
696.8 IPS |
|
|
Image Classification (HP)
|
100% |
3627
674.5 IPS |
|
|
Image Classification (Q)
|
96% |
3371
629.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5800
94.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5948
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5710
92.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24524
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26660
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26003
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3561
282.5 IPS |
|
|
Object Detection (HP)
|
100% |
3670
291.1 IPS |
|
|
Object Detection (Q)
|
92% |
3479
277.7 IPS |
|
|
Face Detection (SP)
|
100% |
10519
125.0 IPS |
|
|
Face Detection (HP)
|
100% |
12273
145.8 IPS |
|
|
Face Detection (Q)
|
100% |
10156
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16849
129.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18160
139.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16615
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42400
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49313
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47891
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9917
366.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11100
409.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8846
326.6 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3881
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1669
28.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1820
31.5 IPS |
